/*-----------------------------------------------------------------*/ /* Survival Analysis Using the SAS System: A Practical Guide */ /* by Paul D. Allison */ /* */ /* SAS Publications order # 55233 */ /* ISBN 1-55544-279-X */ /* Copyright 1995 by SAS Institute Inc., Cary, NC, USA */ /* */ /* SAS Institute does not assume responsibility for the accuracy */ /* of any material presented in this file. */ /*-----------------------------------------------------------------*/ /* This file contains programs and data sets from the book, "Survival Analysis Using the SAS System: A Practical Guide" by Paul D. Allison, Ph.D. The file lists, in order, -- data sets used in the book -- programs used in the book -- macros used in the book. ************************************************************************* ************************************************************************* DATA SETS USED IN THIS BOOK ------------- MYEL Data Set ------------- */ /* Data described in Chapter 3 of P.D. Allison, "Survival Analysis Using the SAS System: A Practical Guide." */ data myel; input id dur status treat renal; cards; 1 8 1 1 1 2 180 1 2 0 3 632 1 2 0 4 852 0 1 0 5 52 1 1 1 6 2240 0 2 0 7 220 1 1 0 8 63 1 1 1 9 195 1 2 0 10 76 1 2 0 11 70 1 2 0 12 8 1 1 0 13 13 1 2 1 14 1990 0 2 0 15 1976 0 1 0 16 18 1 2 1 17 700 1 2 0 18 1296 0 1 0 19 1460 0 1 0 20 210 1 2 0 21 63 1 1 1 22 1328 0 1 0 23 1296 1 2 0 24 365 0 1 0 25 23 1 2 1 ; -------------- RECID Data Set -------------- /* Data described in Chapter 3 of P. Allison, "Survival Analysis Using the SAS System." */ data recid; input week arrest fin age race wexp mar paro prio educ emp1-emp52; cards; 20 1 0 27 1 0 0 1 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1 0 18 1 0 0 1 8 4 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 1 0 19 0 1 0 1 13 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 0 1 23 1 1 1 1 1 5 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 52 0 0 19 0 1 0 1 3 3 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 52 0 0 24 1 1 0 0 2 4 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 1 0 25 1 1 1 1 0 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 . . . . . . . . . . . . . . . . . . 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0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 52 0 0 22 1 1 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 52 0 1 20 1 0 1 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 52 1 0 21 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 45 1 1 18 1 0 0 0 5 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 . . . . . . . 4 1 0 18 1 1 0 0 1 4 0 0 0 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 1 0 33 1 1 0 1 2 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 36 1 1 19 1 0 0 1 2 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 . . . . . . . . . . . . . . . . 52 0 1 21 0 1 0 1 1 5 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 52 0 1 21 1 0 0 1 1 4 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 8 1 1 21 1 1 0 1 4 3 0 0 0 1 1 1 1 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1 1 22 1 0 0 1 3 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 0 0 18 1 0 0 1 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 1 1 1 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 19 1 0 18 1 0 0 0 2 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 0 0 24 1 1 0 1 2 4 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 12 1 1 22 1 1 1 1 2 4 0 0 0 0 1 1 0 0 0 0 0 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 0 1 31 0 1 0 1 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 52 0 0 20 1 0 0 1 1 4 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 52 0 1 20 1 1 1 1 1 3 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 52 0 0 29 1 1 0 1 3 4 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 52 0 1 24 1 1 0 1 1 4 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ; ------------- STAN Data Set ------------- /* Data described in Ch. 5 of P. Allison, "Survival Analysis Using the SAS System: A Practical Guide."*/ data stan; input dob mmddyy9. doa mmddyy9. dot mmddyy9. dls mmddyy9. id age dead dur surg trans wtime m1 m2 m3 reject; surv1=dls-doa; surv2=dls-dot; wait=dot-doa; agetrans=(dot-dob)/365.25; ageaccpt=(doa-dob)/365.25; if wait = . then wait = 10000; agels=(dls-dob)/365.25; cards; 01/10/37 11/15/67 . 01/03/68 1 30 1 50 0 0 . . . . . 03/02/16 01/02/68 . 01/07/68 2 51 1 6 0 0 . . . . . 09/19/13 01/06/68 01/06/68 01/21/68 3 54 1 16 0 1 1 2 0 1.110 0 12/23/27 03/28/68 05/02/68 05/05/68 4 40 1 39 0 1 36 3 0 1.660 0 07/28/47 05/10/68 . 05/27/68 5 20 1 18 0 0 . . . . . 11/08/13 06/13/68 . 06/15/68 6 54 1 3 0 0 . . . . . 08/29/17 07/12/68 08/31/68 05/17/70 7 50 1 675 0 1 51 4 0 1.320 1 03/27/23 08/01/68 . 09/09/68 8 45 1 40 0 0 . . . . . 06/11/21 08/09/68 . 11/01/68 9 47 1 85 0 0 . . . . . 02/09/26 08/11/68 08/22/68 10/07/68 10 42 1 58 0 1 12 2 0 0.610 1 08/22/20 08/15/68 09/09/68 01/14/69 11 47 1 153 0 1 26 1 0 0.360 0 07/09/15 09/17/68 . 09/24/68 12 53 1 8 0 0 . . . . . 02/22/14 09/19/68 10/05/68 12/08/68 13 54 1 81 0 1 17 3 0 1.890 1 09/16/14 09/20/68 10/26/68 07/07/72 14 53 1 1386 0 1 37 1 0 0.870 1 12/04/14 09/27/68 . 09/27/68 15 53 1 1 1 0 . . . . . 05/16/19 10/26/68 11/22/68 08/29/69 16 49 1 308 0 1 28 2 0 1.120 1 06/29/48 10/28/68 . 12/02/68 17 20 1 36 0 0 . . . . . 12/27/11 11/01/68 11/20/68 12/13/68 18 56 1 43 0 1 20 3 0 2.050 0 10/04/09 11/18/68 . 12/24/68 19 59 1 37 0 0 . . . . . 10/19/13 01/29/69 02/15/69 02/25/69 20 55 1 28 0 1 18 3 1 2.760 1 09/29/25 02/01/69 02/08/69 11/29/71 21 43 1 1032 0 1 8 2 0 1.130 1 06/05/26 03/18/69 03/29/69 05/07/69 22 42 1 51 0 1 12 3 0 1.380 1 12/02/10 04/11/69 04/13/69 04/13/71 23 58 1 733 0 1 3 3 0 0.960 1 07/07/17 04/25/69 07/16/69 11/29/69 24 51 1 219 0 1 83 3 1 1.620 1 02/06/36 04/28/69 05/22/69 04/01/74 25 33 0 1799 0 1 25 2 0 1.060 0 10/18/38 05/01/69 . 03/01/73 26 30 0 1400 0 0 . . . . . 07/21/60 05/04/69 . 01/21/70 27 8 1 263 0 0 . . . . . 05/30/15 06/07/69 08/16/69 08/17/69 28 53 1 72 0 1 71 2 0 0.470 0 02/06/19 07/14/69 . 08/17/69 29 50 1 35 0 0 . . . . . 09/20/24 08/19/69 09/03/69 12/18/71 30 44 1 852 0 1 16 4 0 1.580 1 10/04/14 08/23/69 . 09/07/69 31 54 1 16 0 0 . . . . . 04/02/05 08/29/69 09/14/69 11/13/69 32 64 1 77 0 1 17 4 0 0.690 1 01/01/21 11/27/69 01/16/70 04/01/74 33 48 0 1586 0 1 51 3 0 0.910 0 05/24/29 12/12/69 01/03/70 04/01/74 34 40 0 1571 0 1 23 2 0 0.380 0 08/04/26 01/21/70 . 02/01/70 35 43 1 12 0 0 . . . . . 05/01/21 04/04/70 05/19/70 07/12/70 36 48 1 100 0 1 46 2 0 2.090 1 10/24/08 04/25/70 05/13/70 06/29/70 37 61 1 66 0 1 19 3 1 0.870 1 11/14/28 05/05/70 05/08/70 05/09/70 38 41 1 5 0 1 5 3 0 0.870 0 11/12/19 05/20/70 05/21/70 07/11/70 39 50 1 53 0 1 2 . . . . 11/30/21 05/25/70 07/04/70 04/01/74 40 48 0 1407 1 1 41 4 0 0.750 0 04/30/25 08/19/70 10/15/70 04/01/74 41 45 0 1321 1 1 58 2 0 0.980 0 03/13/34 08/21/70 . 08/23/70 42 36 1 3 0 0 . . . . . 06/01/27 10/22/70 . 10/23/70 43 43 1 2 1 0 . . . . . 05/02/28 11/30/70 . 01/08/71 44 42 1 40 1 0 . . . . . 10/30/34 01/05/71 01/05/71 02/18/71 45 36 1 45 0 1 1 1 0 0.000 0 06/01/22 01/10/71 01/11/71 10/01/73 46 48 1 995 1 1 2 2 0 0.810 1 12/28/23 02/02/71 02/22/71 04/14/71 47 47 1 72 0 1 21 3 0 1.380 1 01/23/15 02/05/71 . 02/13/71 48 56 1 9 0 0 . . . . . 06/21/34 02/15/71 03/22/71 04/01/74 49 36 0 1141 1 1 36 4 0 1.350 0 03/28/25 02/15/71 05/08/71 10/21/73 50 45 1 979 1 1 83 . . . . 06/29/22 03/24/71 04/24/71 01/02/72 51 48 1 285 0 1 32 4 1 1.080 1 01/24/30 04/25/71 . 08/04/71 52 41 1 102 0 0 . . . . . 02/27/24 07/02/71 08/11/71 01/05/72 53 47 1 188 0 1 41 . . . . 09/16/23 07/02/71 . 07/04/71 54 47 1 3 0 0 . . . . . 02/24/19 08/09/71 08/18/71 10/08/71 55 52 1 61 0 1 10 2 0 1.510 1 12/05/32 09/03/71 11/08/71 04/01/74 56 38 0 941 0 1 67 4 0 0.980 0 06/08/30 09/13/71 . 02/08/72 57 41 1 149 0 0 . . . . . 09/17/23 09/23/71 10/13/71 08/30/72 58 47 1 342 1 1 21 2 1 1.820 1 05/12/30 09/29/71 12/15/71 04/01/74 59 41 0 915 1 1 78 2 0 0.190 0 10/29/22 11/18/71 11/20/71 01/24/72 60 49 1 68 0 1 3 3 0 0.660 1 05/12/19 12/04/71 . 12/05/71 61 52 1 2 0 0 . . . . . 08/01/32 12/09/71 . 02/15/72 62 39 1 69 0 0 . . . . . 04/15/39 12/12/71 01/07/72 04/01/74 63 32 0 841 0 1 27 3 1 1.930 0 04/09/23 02/01/72 03/04/72 09/06/73 64 48 1 583 1 1 32 1 0 0.120 0 11/19/20 03/06/72 03/17/72 05/22/72 65 51 1 78 0 1 12 2 0 1.120 1 01/02/19 03/20/72 . 04/20/72 66 53 1 32 0 0 . . . . . 09/03/52 03/23/72 05/18/72 01/01/73 67 19 1 285 0 1 57 3 0 1.020 0 01/10/27 04/07/72 04/09/72 06/13/72 68 45 1 68 0 1 3 3 1 1.680 1 06/05/24 06/01/72 06/10/72 04/01/74 69 47 0 670 0 1 10 2 0 1.200 0 06/17/19 06/17/72 06/21/72 07/16/72 70 52 1 30 0 1 5 3 1 1.680 1 02/22/25 07/21/72 08/20/72 04/01/74 71 47 0 620 0 1 31 3 0 0.970 0 11/22/45 08/14/72 08/17/72 04/01/74 72 26 0 596 0 1 4 3 1 1.460 0 05/13/16 09/11/72 10/07/72 12/09/72 73 56 1 90 0 1 27 3 1 2.160 1 07/20/43 09/18/72 09/22/72 10/04/72 74 29 1 17 0 1 5 1 0 0.610 0 07/25/20 09/29/72 . 09/30/72 75 52 1 2 0 0 . . . . . 09/03/20 10/04/72 11/18/72 04/01/74 76 52 0 545 1 1 46 3 1 1.700 0 08/27/31 10/06/72 . 10/26/72 77 41 1 21 0 0 . . . . . 02/20/24 11/03/72 05/31/73 04/01/74 78 48 0 515 0 1 210 3 0 0.810 0 02/18/19 11/30/72 02/04/73 03/05/73 79 53 1 96 0 1 67 2 0 1.080 1 06/27/26 12/06/72 12/31/72 04/01/74 80 46 0 482 1 1 26 3 0 1.410 0 02/21/20 01/12/73 01/17/73 04/01/74 81 52 0 445 0 1 6 4 1 1.940 0 08/19/42 11/01/71 . 01/01/73 82 29 0 427 0 0 . . . . . 10/04/19 01/24/73 02/24/73 04/13/73 83 53 1 80 0 1 32 4 0 3.050 0 05/13/30 01/30/73 03/07/73 12/29/73 84 42 1 334 0 1 37 4 0 0.600 1 02/13/25 02/06/73 . 02/10/73 85 47 1 5 0 0 . . . . . 03/30/24 03/01/73 03/08/73 04/01/74 86 48 0 397 0 1 8 3 1 1.440 0 12/19/26 03/21/73 05/19/73 07/08/73 87 46 1 110 0 1 60 2 0 2.250 1 11/16/18 03/28/73 04/27/73 04/01/74 88 54 0 370 0 1 31 3 0 0.680 0 03/19/22 04/05/73 08/21/73 10/28/73 89 51 1 207 0 1 139 4 1 1.330 1 03/25/21 04/06/73 09/12/73 10/08/73 90 52 1 186 1 1 160 3 1 0.820 0 09/08/25 04/13/73 . 03/18/74 91 47 1 340 0 0 . . . . . 05/03/28 04/27/73 03/02/74 04/01/74 92 44 0 340 0 1 310 1 0 0.160 0 10/10/25 07/11/73 08/07/73 04/01/74 93 47 0 265 0 1 28 2 0 0.330 0 11/11/29 09/14/73 09/17/73 02/25/74 94 43 1 165 1 1 4 3 0 1.200 1 06/11/33 09/22/73 09/23/73 10/07/73 95 40 1 16 0 1 2 . . . . 02/09/47 10/04/73 10/16/73 04/01/74 96 26 0 180 0 1 13 2 0 0.460 0 04/11/50 11/22/73 12/12/73 04/01/74 97 23 0 131 0 1 21 3 1 1.780 0 04/28/45 12/14/73 03/19/74 04/01/74 98 28 0 109 0 1 96 4 1 0.770 0 02/24/24 12/25/73 . 01/14/74 99 49 1 21 0 0 . . . . . 01/31/39 02/22/74 03/31/74 04/01/74 100 35 0 39 1 1 38 3 0 0.670 0 08/25/24 03/02/74 . 04/01/74 101 49 0 31 0 0 . . . . . 10/30/33 03/22/74 . 04/01/74 102 40 0 11 0 0 . . . . . 05/20/28 09/13/67 . 09/18/67 103 39 1 6 0 0 . . . . . ; --------------- BREAST Data Set --------------- /* This data set is displayed in Output 5.4 of P.D. Allison, "Survival Analysis Using the SAS System: A Practical Guide." */ data breast; input surv dead x; cards; 5 1 1 8 1 1 10 1 1 13 1 1 18 1 1 23 1 0 24 1 1 25 1 1 26 1 1 31 1 1 35 1 1 40 1 1 41 1 1 47 1 0 48 1 1 50 1 1 59 1 1 61 1 1 68 1 1 69 1 0 70 0 0 71 0 0 71 1 1 76 0 1 100 0 0 101 0 0 105 0 1 107 0 1 109 0 1 113 1 1 116 0 1 118 1 1 143 1 1 148 1 0 154 0 1 162 0 1 181 1 0 188 0 1 198 0 0 208 0 0 212 0 0 212 0 1 217 0 1 224 0 0 225 0 1 ; --------------- JOBDUR Data Set --------------- /* The data set is analyzed in Output 5.9 of P.D. Allison, "Survival Analysis Using the SAS System: A Practical Guide." */ data jobdur; input dur event ed prestige salary; cards; 1 1 7 3 19 4 1 14 62 17 5 0 16 70 18 2 1 12 43 135 3 1 9 18 12 1 1 11 31 12 1 1 13 26 6 1 1 10 1 4 2 1 12 28 17 3 1 7 25 4 3 1 13 45 15 3 1 17 65 10 3 1 11 37 13 1 1 7 10 9 5 0 11 67 10 2 1 13 45 17 2 2 11 78 8 5 0 11 42 18 2 1 12 24 30 2 1 12 30 9 1 1 10 6 6 1 1 12 23 26 2 1 9 18 8 2 1 14 36 17 3 1 12 42 12 5 1 15 72 6 3 1 12 48 14 2 1 13 52 12 3 1 12 49 105 1 1 9 9 22 1 1 14 37 4 2 1 12 16 7 2 2 10 64 89 1 2 9 73 19 1 2 11 93 16 3 1 8 37 15 4 2 15 100 26 4 1 10 39 32 5 0 17 88 19 1 2 13 50 16 2 1 13 28 15 5 1 18 81 5 5 1 13 51 22 3 1 12 27 17 5 0 17 84 33 1 1 7 23 21 1 2 16 84 26 3 2 17 100 18 4 1 18 46 27 2 1 9 41 7 5 0 18 80 14 2 1 13 30 13 2 1 6 25 6 1 1 15 34 9 3 1 13 40 18 1 2 12 80 38 3 1 13 46 30 3 2 10 63 8 1 1 13 10 7 4 1 17 55 40 3 1 14 50 12 2 1 15 52 7 5 0 14 74 9 1 2 13 85 21 1 1 7 12 16 1 1 16 38 5 5 0 13 67 11 3 1 9 45 15 1 1 11 21 8 5 0 16 68 29 1 2 13 98 35 5 1 12 44 11 5 0 12 52 29 5 0 12 51 53 2 1 9 1 31 2 2 8 36 10 2 1 11 18 8 1 1 8 10 5 1 1 11 10 3 2 1 13 34 14 5 0 15 53 13 1 1 9 42 9 3 1 12 54 15 4 1 10 45 13 5 0 14 63 79 3 2 8 54 27 5 0 15 49 64 4 1 11 50 23 2 1 13 26 9 4 1 17 69 10 3 2 13 90 19 3 1 12 47 14 5 0 14 40 106 5 0 13 71 7 4 1 12 47 51 1 1 11 25 21 5 0 10 52 15 1 1 9 22 19 1 1 16 40 13 1 1 10 17 37 ; ------------- ALCO Data Set ------------- /* Data set ALCO is displayed in Output 5.14 of P.D. Allison, "Survival Analysis Using the SAS System: A Practical Guide." */ data alco; input surv dead time2-time10 pt1-pt10; cards; 90 0 7 20 26 35 44 50 56 80 83 23.9 20.8 23.6 23.6 24.0 22.5 24.6 25.1 29.4 27.9 80 0 6 36 42 54 67 78 . . . 29.6 15.1 15.4 16.3 13.9 14.6 16.1 . . . 36 0 17 28 34 . . . . . . 25.9 24.4 24.8 24.3 . . . . . . 68 0 15 20 26 32 51 . . . . 26.8 27.9 26.5 26.5 26.8 26.6 . . . . 62 0 22 40 46 . . . . . . 23.0 25.2 27.1 27.8 . . . . . . 47 0 5 12 24 35 46 . . . . 25.8 26.0 25.2 24.9 26.3 26.6 . . . . 84 0 8 27 31 43 76 . . . . 14.2 11.5 12.9 12.6 12.5 18.6 . . . . 57 0 6 21 27 34 39 45 51 . . 27.6 27.5 28.0 27.8 29.1 28.2 28.3 28.4 . . 7 0 4 7 . . . . . . . 25.0 25.1 24.7 . . . . . . . 49 0 16 . . . . . . . . 25.5 27.4 . . . . . . . . 55 0 3 9 15 21 33 42 49 . . 14.8 16.7 16.9 17.7 13.8 13.8 13.7 14.2 . . 43 0 6 11 18 24 42 . . . . 20.6 19.9 20.3 20.2 19.7 27.1 . . . . 42 0 6 12 18 23 29 35 . . . 27.6 27.0 28.1 28.8 29.0 28.4 28.8 . . . 11 0 9 . . . . . . . . 25.3 27.8 . . . . . . . . 36 1 16 22 28 . . . . . . 22.5 22.3 25.2 26.4 . . . . . . 36 1 9 26 32 . . . . . . 26.9 26.9 24.2 26.2 . . . . . . 2 1 . . . . . . . . . 19.2 . . . . . . . . . 23 1 7 13 . . . . . . . 21.8 20.3 23.8 . . . . . . . 10 1 6 . . . . . . . . 21.6 22.3 . . . . . . . . 29 1 21 27 . . . . . . . 18.7 20.2 22.5 . . . . . . . 16 1 6 12 . . . . . . . 28.4 28.7 28.7 . . . . . . . 15 1 7 12 . . . . . . . 17.8 17.7 17.4 . . . . . . . 5 1 3 . . . . . . . . 20.7 22.6 . . . . . . . . 15 1 6 . . . . . . . . 28.0 28.8 . . . . . . . . 1 1 . . . . . . . . . 31.6 . . . . . . . . . 13 1 4 10 . . . . . . . 26.0 22.7 25.4 . . . . . . . 39 1 22 35 . . . . . . . 25.5 29.0 29.2 . . . . . . . 20 1 12 . . . . . . . . 21.3 21.0 . . . . . . . . 45 1 18 24 38 . . . . . . 23.9 28.7 29.5 30.2 . . . . . . ; ---------------- LEADERS Data Set ---------------- /* Data described in Chapter 6 of P. D. Allison, "SAS System for Survival Analysis: A Practical Guide." */ data leaders; input years lost manner start military age conflict loginc growth pop land literacy region; cards; 3 2 1 975 0 53 1 5.7990926545 -5.7 8 1247 20 1 8 0 0 979 0 37 1 5.7990926545 -5.7 8 1247 20 1 3 3 0 960 0 44 1 4.7004803658 1 4 112 11 1 1 3 0 964 0 51 1 4.7004803658 1 4 112 11 1 1 3 1 965 1 56 1 4.7004803658 1 4 112 11 1 0 3 1 967 1 37 1 4.7004803658 1 4 112 11 1 1 3 1 968 0 50 1 4.7004803658 1 4 112 11 1 15 0 1 972 1 39 1 4.7004803658 1 4 112 11 1 13 2 0 966 0 45 0 5.4380793089 8.5 1.2 600 30 1 7 0 0 980 0 55 0 5.4380793089 8.5 1.2 600 30 1 3 3 0 962 0 50 1 4.3820266347 2.1 5.2 28 30 1 0 3 1 966 0 19 1 4.3820266347 2.1 5.2 28 30 1 9 3 1 966 1 26 1 4.3820266347 2.1 5.2 28 30 1 10 3 1 976 1 30 1 4.3820266347 2.1 5.2 28 30 1 0 0 1 987 1 38 1 4.3820266347 2.1 5.2 28 30 1 22 1 0 960 0 36 1 5.5214609179 2.7 11 475 65 1 5 0 0 982 0 49 1 5.5214609179 2.7 11 475 65 1 12 0 0 975 0 51 1 5.0751738152 2.4 0.4 4 37 1 5 3 0 960 0 30 0 5.0751738152 0.1 2.7 623 20 1 13 3 1 965 1 44 0 5.0751738152 0.1 2.7 623 20 1 6 0 1 981 1 45 0 5.0751738152 0.1 2.7 623 20 1 15 3 0 960 0 42 1 4.3820266347 -5.8 5 1284 17 1 3 3 1 975 1 43 1 4.3820266347 -5.8 5 1284 17 1 3 3 0 979 0 35 1 4.3820266347 -5.8 5 1284 17 1 5 0 1 982 1 40 1 4.3820266347 -5.8 5 1284 17 1 2 3 0 972 0 53 0 5.1929568509 -0.6 0.43 2.1 15 1 0 1 1 975 0 . 0 5.1929568509 -0.6 0.43 2.1 15 1 2 3 0 976 0 38 0 5.1929568509 -0.6 0.43 2.1 15 1 3 1 0 960 0 43 1 5.8289456176 3.5 2.1 342 80 1 4 3 1 963 0 42 1 5.8289456176 3.5 2.1 342 80 1 8 3 1 968 1 30 1 5.8289456176 3.5 2.1 342 80 1 1 3 1 977 1 38 1 5.8289456176 3.5 2.1 342 80 1 7 0 0 979 1 36 1 5.8289456176 3.5 2.1 342 80 1 9 0 0 977 0 61 1 7.6778635007 -3.6 0.32 22 20 1 10 3 1 968 0 44 1 5.7990926545 -1.3 0.35 28 55 1 8 0 1 979 1 37 1 5.7990926545 -1.3 0.35 28 55 1 2 3 1 974 1 53 1 4.4998096703 0.5 48 1221 35 1 10 0 1 977 1 42 1 4.4998096703 0.5 48 1221 35 1 7 2 0 960 0 58 0 7.1777824162 3.2 1 267 65 1 19 0 1 967 0 32 0 7.1777824162 3.2 1 267 65 1 22 0 0 965 0 41 0 4.8675344505 1.4 0.8 11 12 1 3 3 1 966 1 51 1 5.7037824747 -2.1 14 238 30 1 2 3 0 969 0 56 1 5.7037824747 -2.1 14 238 30 1 1 3 0 970 0 64 1 5.7037824747 -2.1 14 238 30 1 6 3 1 972 1 41 1 5.7037824747 -2.1 14 238 30 1 0 3 1 978 1 41 1 5.7037824747 -2.1 14 238 30 1 2 3 0 979 0 45 1 5.7037824747 -2.1 14 238 30 1 5 0 1 981 1 34 1 5.7037824747 -2.1 14 238 30 1 0 3 0 984 1 61 1 4.7004803658 1.1 7 245 20 1 3 0 1 984 1 61 1 4.7004803658 1.1 7 245 20 1 6 3 1 974 0 43 1 4.9416424226 2.4 1 36 9 1 6 0 1 980 1 41 1 4.9416424226 2.4 1 36 9 1 27 0 0 960 0 55 0 5.9401712527 1 11 322 24 1 14 2 0 963 0 74 1 5.1357984371 2.3 23 583 47 1 9 0 0 978 0 54 1 5.1357984371 2.3 23 583 47 1 19 3 0 966 0 52 0 4.605170186 6.3 1.6 30 65 1 1 0 1 986 1 . 0 4.605170186 6.3 1.6 30 65 1 8 3 0 971 0 58 1 5.7365722975 0.8 2.5 111 20 1 7 0 1 980 1 28 1 5.7365722975 0.8 2.5 111 20 1 11 3 0 960 0 48 1 5.0106352941 -1.2 11 587 53 1 2 3 0 972 1 62 1 5.0106352941 -1.2 11 587 53 1 12 0 0 975 1 39 1 5.0106352941 -1.2 11 587 53 1 23 0 0 964 0 58 1 4.7004803658 2.2 7.7 118 25 1 8 3 0 960 0 45 0 4.248495242 1.2 8.7 1240 10 1 19 0 1 968 1 32 0 4.248495242 1.2 8.7 1240 10 1 17 3 0 960 0 36 1 5.2983173665 0.3 2 1030 17 1 0 3 1 978 1 42 1 5.2983173665 0.3 2 1030 17 1 0 3 1 979 1 36 1 5.2983173665 0.3 2 1030 17 1 4 3 1 980 1 40 1 5.2983173665 0.3 2 1030 17 1 2 0 1 984 1 39 1 5.2983173665 0.3 2 1030 17 1 14 1 0 968 0 68 1 6.0161571597 2.8 1 1.9 79 1 5 0 0 982 0 52 1 6.0161571597 2.8 1 1.9 79 1 11 2 1 975 1 42 1 5.1357984371 0.1 15 801 14 1 0 0 0 986 1 47 1 5.1357984371 0.1 15 801 14 1 13 3 0 960 0 44 0 4.605170186 -1.2 7 1267 8 1 13 0 1 974 1 43 0 4.605170186 -1.2 7 1267 8 1 5 3 0 960 0 48 1 5.3471075307 3.2 112 923 30 1 0 3 1 966 1 42 1 5.3471075307 3.2 112 923 30 1 9 3 1 966 1 32 1 5.3471075307 3.2 112 923 30 1 0 3 1 975 1 38 1 5.3471075307 3.2 112 923 30 1 3 1 1 976 1 39 1 5.3471075307 3.2 112 923 30 1 4 3 0 979 0 54 1 5.3471075307 3.2 112 923 30 1 1 3 1 983 1 41 1 5.3471075307 3.2 112 923 30 1 2 0 1 985 1 44 1 5.3471075307 3.2 112 923 30 1 11 3 0 962 0 38 1 4.248495242 2.3 7 26 37 1 14 0 1 973 1 33 1 4.248495242 2.3 7 26 37 1 12 0 1 975 1 38 0 6.1944053911 -1.3 0.11 1 50 1 20 1 0 960 0 54 1 5.5214609179 -0.5 7.3 196 10 1 6 0 0 981 0 46 1 5.5214609179 -0.5 7.3 196 10 1 0 3 0 976 0 37 0 6.4134589572 3.4 0.07 0.5 60 1 10 0 1 977 0 42 0 6.4134589572 3.4 0.07 0.5 60 1 3 2 0 961 0 65 1 5.0751738152 1.1 4 72 15 1 2 1 0 964 0 54 1 5.0751738152 1.1 4 72 15 1 0 3 1 967 1 45 1 5.0751738152 1.1 4 72 15 1 1 3 1 967 1 36 1 5.0751738152 1.1 4 72 15 1 17 1 0 968 0 63 1 5.0751738152 1.1 4 72 15 1 2 0 0 985 1 48 1 5.0751738152 1.1 4 72 15 1 3 1 0 960 0 41 0 4.3820266347 -0.8 8 638 60 1 3 1 0 964 0 40 0 4.3820266347 -0.8 8 638 60 1 18 0 1 969 1 48 0 4.3820266347 -0.8 8 638 60 1 12 1 0 966 0 46 1 6.9565454432 1.6 35 1221 65 1 9 0 0 978 0 62 1 6.9565454432 1.6 35 1221 65 1 14 2 0 968 0 69 1 5.7990926545 2.6 0.7 17 65 1 2 3 1 961 0 37 1 5.7990926545 2.6 0.7 17 65 1 1 0 0 986 0 18 1 5.7990926545 2.6 0.7 17 65 1 24 1 0 961 0 39 0 4.8675344505 0.9 24 945 79 1 2 0 0 985 0 60 0 4.8675344505 0.9 24 945 79 1 2 3 0 960 0 58 1 5.1929568509 1.1 3.3 57 18 1 3 3 1 963 0 50 1 5.1929568509 1.1 3.3 57 18 1 20 0 1 967 1 30 1 5.1929568509 1.1 3.3 57 18 1 8 3 0 962 0 37 1 5.0106352941 -4.4 16 236 52 1 8 3 1 971 1 46 1 5.0106352941 -4.4 16 236 52 1 0 3 1 979 0 67 1 5.0106352941 -4.4 16 236 52 1 0 3 0 979 0 59 1 5.0106352941 -4.4 16 236 52 1 0 3 1 985 1 72 1 5.0106352941 -4.4 16 236 52 1 0 0 1 986 1 43 1 5.0106352941 -4.4 16 236 52 1 5 3 0 960 0 39 1 4.248495242 1.4 8.5 274 7 1 14 3 1 966 1 50 1 4.248495242 1.4 8.5 274 7 1 1 3 1 980 1 48 1 4.248495242 1.4 8.5 274 7 1 0 3 1 982 1 44 1 4.248495242 1.4 8.5 274 7 1 4 3 1 983 1 34 1 4.248495242 1.4 8.5 274 7 1 0 0 1 987 1 38 1 4.248495242 1.4 8.5 274 7 1 5 3 0 960 0 43 1 4.248495242 -1.3 33 2345 40 1 1 3 0 960 0 35 1 4.248495242 -1.3 33 2345 40 1 0 1 1 960 1 30 1 4.248495242 -1.3 33 2345 40 1 0 3 1 960 0 42 1 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966 0 30 1 4.8675344505 1.3 24 2506 20 0 16 3 1 969 1 39 1 4.8675344505 1.3 24 2506 20 0 0 3 1 961 0 47 1 5.9914645471 4.9 12 185 47 0 0 3 1 961 1 . 1 5.9914645471 4.9 12 185 47 0 1 3 0 961 0 55 1 5.9914645471 4.9 12 185 47 0 0 1 1 962 1 . 1 5.9914645471 4.9 12 185 47 0 0 3 1 963 1 37 1 5.9914645471 4.9 12 185 47 0 3 3 1 963 1 52 1 5.9914645471 4.9 12 185 47 0 4 3 0 966 1 37 1 5.9914645471 4.9 12 185 47 0 17 0 1 970 1 42 1 5.9914645471 4.9 12 185 47 0 0 0 1 987 1 51 1 6.1312264895 5 8 164 62 0 1 1 1 960 1 65 0 6.3969296552 3 54 781 70 0 6 3 0 965 0 41 0 6.3969296552 3 54 781 70 0 2 1 1 971 1 71 0 6.3969296552 3 54 781 70 0 0 1 0 974 0 48 0 6.3969296552 3 54 781 70 0 0 1 0 974 0 70 0 6.3969296552 3 54 781 70 0 4 1 1 979 1 61 0 6.3969296552 3 54 781 70 0 4 0 0 983 0 56 0 6.3969296552 3 54 781 70 0 1 3 0 961 0 33 1 5.5214609179 5.7 6.7 195 15 0 5 3 1 962 1 45 1 5.5214609179 5.7 6.7 195 15 0 7 3 0 967 0 32 1 5.5214609179 5.7 6.7 195 15 0 3 3 1 974 1 29 1 5.5214609179 5.7 6.7 195 15 0 1 3 0 977 1 . 1 5.5214609179 5.7 6.7 195 15 0 9 0 1 978 1 36 1 5.5214609179 5.7 6.7 195 15 0 2 3 0 967 0 . 0 5.6347896032 6 2.4 333 25 0 7 3 0 971 0 37 0 5.6347896032 6 2.4 333 25 0 0 1 1 978 0 . 0 5.6347896032 6 2.4 333 25 0 2 1 0 978 0 41 0 5.6347896032 6 2.4 333 25 0 6 3 0 980 0 41 0 5.6347896032 6 2.4 333 25 0 1 0 1 986 0 47 0 5.6347896032 6 2.4 333 25 0 16 0 0 971 0 55 0 9.5460980677 -1.2 2 84 68 0 10 3 1 963 0 43 1 4.4998096703 0.5 14 648 12 2 0 3 1 978 0 61 1 4.4998096703 0.5 14 648 12 2 0 3 0 979 0 50 1 4.4998096703 0.5 14 648 12 2 7 3 1 979 0 50 1 4.4998096703 0.5 14 648 12 2 1 0 1 986 1 39 1 4.4998096703 0.5 14 648 12 2 3 3 0 971 0 51 1 4.3820266347 0.5 109 144 29 2 0 3 1 975 0 56 1 4.3820266347 0.5 109 144 29 2 0 3 1 975 1 . 1 4.3820266347 0.5 109 144 29 2 2 3 1 975 0 59 1 4.3820266347 0.5 109 144 29 2 3 3 1 978 1 42 1 4.3820266347 0.5 109 144 29 2 0 3 0 981 0 75 1 4.3820266347 0.5 109 144 29 2 5 0 1 982 1 52 1 4.3820266347 0.5 109 144 29 2 15 0 0 972 0 17 0 4.248495242 0.1 1.5 47 5 2 20 0 0 967 0 22 0 9.3413686344 7.4 0.3 6 45 2 1 1 0 976 0 56 1 4.7874917428 4.4 1088 9596 75 2 9 0 0 978 0 74 1 4.7874917428 4.4 1088 9596 75 2 17 1 0 970 0 50 1 6.4769723629 3.4 0.74 18 80 2 0 3 0 987 0 52 1 6.4769723629 3.4 0.74 18 80 2 0 1 1 987 1 38 1 6.4769723629 3.4 0.74 18 80 2 0 3 0 987 0 69 1 6.4769723629 3.4 0.74 18 80 2 4 1 0 960 0 61 0 8.1969879273 4.8 122 372 99 2 8 1 0 964 0 63 0 8.1969879273 4.8 122 372 99 2 2 1 0 972 0 54 0 8.1969879273 4.8 122 372 99 2 2 1 0 974 0 67 0 8.1969879273 4.8 122 372 99 2 2 1 0 976 0 71 0 8.1969879273 4.8 122 372 99 2 2 2 0 978 0 68 0 8.1969879273 4.8 122 372 99 2 2 1 0 980 0 69 0 8.1969879273 4.8 122 372 99 2 5 1 0 982 0 65 0 8.1969879273 4.8 122 372 99 2 0 0 0 987 0 63 0 8.1969879273 4.8 122 372 99 2 1 2 0 964 0 60 1 4.7874917428 1.5 816 3288 36 2 11 1 0 966 0 49 1 4.7874917428 1.5 816 3288 36 2 2 1 0 977 0 81 1 4.7874917428 1.5 816 3288 36 2 0 1 0 979 0 77 1 4.7874917428 1.5 816 3288 36 2 3 0 0 984 0 40 1 4.7874917428 1.5 816 3288 36 2 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0.008 0.02 99 2 0 1 0 978 0 55 0 5.8141305318 1.3 0.008 0.02 99 2 0 1 0 986 0 . 0 5.8141305318 1.3 0.008 0.02 99 2 15 0 0 972 0 37 1 4.4998096703 0.1 18 140 20 2 5 1 0 975 0 39 0 6.0161571597 0.9 3.6 461 32 2 2 1 0 980 0 40 0 6.0161571597 0.9 3.6 461 32 2 2 0 0 985 0 34 0 6.0161571597 0.9 3.6 461 32 2 2 1 0 969 1 52 1 4.7874917428 2.5 107 803 26 2 5 3 0 971 0 43 1 4.7874917428 2.5 107 803 26 2 10 0 1 977 1 53 1 4.7874917428 2.5 107 803 26 2 4 1 0 961 0 51 1 5.6347896032 2.9 63 300 88 2 20 1 0 965 0 48 1 5.6347896032 2.9 63 300 88 2 1 0 1 986 0 53 1 5.6347896032 2.9 63 300 88 2 24 0 0 963 0 40 0 7.5120712458 7.8 2.6 0.6 86 2 3 1 0 978 0 35 1 5.8141305318 1.3 0.3 28 60 2 3 1 0 981 0 38 1 5.8141305318 1.3 0.3 28 60 2 1 0 0 986 0 . 1 5.8141305318 1.3 0.3 28 60 2 5 1 0 960 0 54 1 4.7874917428 2.9 17 66 87 2 10 0 0 977 0 71 1 4.7874917428 2.9 17 66 87 2 12 0 0 975 1 65 1 6.492239835 4.6 20 35 94 2 10 1 0 963 1 52 1 5.598421959 4.3 54 514 82 2 1 1 0 973 0 66 1 5.598421959 4.3 54 514 82 2 0 1 0 975 0 70 1 5.598421959 4.3 54 514 82 2 1 1 0 975 0 64 1 5.598421959 4.3 54 514 82 2 1 3 1 976 1 . 1 5.598421959 4.3 54 514 82 2 2 3 1 977 1 60 1 5.598421959 4.3 54 514 82 2 7 0 0 980 1 60 1 5.598421959 4.3 54 514 82 2 22 0 0 965 0 47 0 5.8141305318 1.3 0.1 0.7 95 2 3 1 0 978 0 36 0 5.8141305318 1.3 0.08 0.03 45 2 6 1 0 981 0 . 0 5.8141305318 1.3 0.08 0.03 45 2 8 0 0 979 0 45 1 5.8141305318 1.3 0.08 0.03 45 2 17 2 0 969 0 61 1 4.248495242 -6 65 330 78 2 0 1 0 986 0 79 1 4.248495242 -6 65 330 78 2 1 0 0 986 0 73 1 4.248495242 -6 65 330 78 2 0 3 1 963 1 47 1 5.0751738152 -3 65 330 78 2 1 3 1 964 1 37 1 5.0751738152 -3 65 330 78 2 0 3 1 965 0 62 1 5.0751738152 -3 65 330 78 2 0 3 1 965 1 38 1 5.0751738152 -3 65 330 78 2 10 3 1 965 1 42 1 5.0751738152 -3 65 330 78 2 8 1 0 962 0 41 0 5.8579331545 1.3 0.18 2.9 90 2 3 1 0 970 0 48 0 5.8579331545 1.3 0.18 2.9 90 2 6 1 0 976 0 58 0 5.8579331545 1.3 0.18 2.9 90 2 0 1 0 982 0 . 0 5.8579331545 1.3 0.18 2.9 90 2 3 1 0 982 0 58 0 5.8579331545 1.3 0.18 2.9 90 2 6 0 0 981 0 70 0 6.6066501862 -0.4 0.08 0.44 90 3 1 1 0 962 0 52 0 7.4024515208 0.5 30.5 2767 94 3 3 3 0 963 0 63 0 7.4024515208 0.5 30.5 2767 94 3 4 3 1 966 1 52 0 7.4024515208 0.5 30.5 2767 94 3 0 3 1 970 1 50 0 7.4024515208 0.5 30.5 2767 94 3 2 1 1 971 1 53 0 7.4024515208 0.5 30.5 2767 94 3 0 1 0 973 0 57 0 7.4024515208 0.5 30.5 2767 94 3 2 3 0 974 0 43 0 7.4024515208 0.5 30.5 2767 94 3 4 1 1 976 1 51 0 7.4024515208 0.5 30.5 2767 94 3 1 1 0 980 1 55 0 7.4024515208 0.5 30.5 2767 94 3 0 1 0 981 1 54 0 7.4024515208 0.5 30.5 2767 94 3 1 1 0 982 0 54 0 7.4024515208 0.5 30.5 2767 94 3 4 0 0 983 0 58 0 7.4024515208 0.5 30.5 2767 94 3 20 0 0 967 0 36 0 8.1047034684 -1.8 0.23 14 95 3 10 1 0 966 0 46 0 6.907755279 3.8 0.25 0.43 99 3 9 2 0 976 0 44 0 6.907755279 3.8 0.25 0.43 99 3 1 1 0 985 0 53 0 6.907755279 3.8 0.25 0.43 99 3 0 0 0 987 0 50 0 6.907755279 3.8 0.25 0.43 99 3 3 1 0 981 0 62 1 6.6200732065 3.6 0.16 23 93 3 3 0 0 984 0 43 1 6.6200732065 3.6 0.16 23 93 3 0 3 1 964 1 42 1 5.4380793089 0.6 6.4 1099 63 3 0 3 1 965 1 47 1 5.4380793089 0.6 6.4 1099 63 3 0 3 0 969 0 44 1 5.4380793089 0.6 6.4 1099 63 3 0 3 1 970 1 49 1 5.4380793089 0.6 6.4 1099 63 3 7 3 1 971 1 45 1 5.4380793089 0.6 6.4 1099 63 3 0 3 1 978 1 47 1 5.4380793089 0.6 6.4 1099 63 3 0 1 1 979 1 54 1 5.4380793089 0.6 6.4 1099 63 3 0 3 0 979 0 68 1 5.4380793089 0.6 6.4 1099 63 3 0 1 1 979 1 53 1 5.4380793089 0.6 6.4 1099 63 3 0 1 0 979 0 58 1 5.4380793089 0.6 6.4 1099 63 3 1 3 1 980 0 50 1 5.4380793089 0.6 6.4 1099 63 3 0 1 1 981 1 48 1 5.4380793089 0.6 6.4 1099 63 3 0 3 0 982 1 45 1 5.4380793089 0.6 6.4 1099 63 3 0 1 0 961 0 44 1 6.6333184333 5 135.6 8512 76 3 2 3 0 961 0 43 1 6.6333184333 5 135.6 8512 76 3 3 1 1 964 1 64 1 6.6333184333 5 135.6 8512 76 3 2 3 0 967 1 65 1 6.6333184333 5 135.6 8512 76 3 4 1 1 969 1 64 1 6.6333184333 5 135.6 8512 76 3 5 1 0 974 1 66 1 6.6333184333 5 135.6 8512 76 3 6 2 0 979 1 60 1 6.6333184333 5 135.6 8512 76 3 2 0 0 985 0 54 1 6.6333184333 5 135.6 8512 76 3 6 1 0 964 0 53 0 6.579251212 -0.1 12.1 757 94 3 2 3 0 970 0 62 0 6.579251212 -0.1 12.1 757 94 3 14 0 1 973 1 58 0 6.579251212 -0.1 12.1 757 94 3 4 1 0 962 1 62 1 6.0867747269 3.2 28.4 1139 88 3 4 1 0 966 0 58 1 6.0867747269 3.2 28.4 1139 88 3 4 1 0 970 0 57 1 6.0867747269 3.2 28.4 1139 88 3 4 1 0 974 0 60 1 6.0867747269 3.2 28.4 1139 88 3 4 1 0 978 0 62 1 6.0867747269 3.2 28.4 1139 88 3 4 0 0 982 0 59 1 6.0867747269 3.2 28.4 1139 88 3 4 1 0 962 0 55 0 6.56526497 2.1 2.6 51 93 3 4 1 0 966 0 50 0 6.56526497 2.1 2.6 51 93 3 4 1 0 974 0 53 0 6.56526497 2.1 2.6 51 93 3 4 1 0 978 0 51 0 6.56526497 2.1 2.6 51 93 3 4 1 0 982 0 56 0 6.56526497 2.1 2.6 51 93 3 1 0 0 986 0 45 0 6.56526497 2.1 2.6 51 93 3 0 1 0 978 0 41 0 6.1527326947 3.9 0.078 1 80 3 0 1 0 979 0 36 0 6.1527326947 3.9 0.078 1 80 3 7 0 0 980 0 61 0 6.1527326947 3.9 0.078 1 80 3 1 3 0 961 0 54 0 6.2538288116 3.9 6.4 49 74 3 1 1 1 962 0 57 0 6.2538288116 3.9 6.4 49 74 3 0 3 0 963 0 54 0 6.2538288116 3.9 6.4 49 74 3 0 3 1 963 0 . 0 6.2538288116 3.9 6.4 49 74 3 2 3 1 963 0 40 0 6.2538288116 3.9 6.4 49 74 3 0 3 1 965 0 . 0 6.2538288116 3.9 6.4 49 74 3 0 3 1 965 1 45 0 6.2538288116 3.9 6.4 49 74 3 0 1 1 965 1 32 0 6.2538288116 3.9 6.4 49 74 3 0 1 0 965 0 44 0 6.2538288116 3.9 6.4 49 74 3 4 2 0 978 0 67 0 6.2538288116 3.9 6.4 49 74 3 4 1 0 982 0 56 0 6.2538288116 3.9 6.4 49 74 3 1 3 1 961 0 42 0 5.9401712527 4.6 9.4 284 85 3 2 3 1 963 1 48 0 5.9401712527 4.6 9.4 284 85 3 0 1 1 966 0 62 0 5.9401712527 4.6 9.4 284 85 3 1 1 0 966 0 45 0 5.9401712527 4.6 9.4 284 85 3 4 3 1 972 1 49 0 5.9401712527 4.6 9.4 284 85 3 2 1 1 976 1 50 0 5.9401712527 4.6 9.4 284 85 3 1 1 0 978 1 . 0 5.9401712527 4.6 9.4 284 85 3 2 2 0 979 0 38 0 5.9401712527 4.6 9.4 284 85 3 3 1 0 981 0 41 0 5.9401712527 4.6 9.4 284 85 3 3 0 0 984 0 53 0 5.9401712527 4.6 9.4 284 85 3 0 3 1 960 1 . 1 5.8579331545 -0.2 4.8 21 65 3 0 3 1 961 1 . 1 5.8579331545 -0.2 4.8 21 65 3 0 1 1 961 1 . 1 5.8579331545 -0.2 4.8 21 65 3 5 1 0 962 1 40 1 5.8579331545 -0.2 4.8 21 65 3 5 1 0 967 1 50 1 5.8579331545 -0.2 4.8 21 65 3 5 1 0 972 1 45 1 5.8579331545 -0.2 4.8 21 65 3 2 3 0 977 1 43 1 5.8579331545 -0.2 4.8 21 65 3 1 3 1 979 1 43 1 5.8579331545 -0.2 4.8 21 65 3 1 1 1 980 0 55 1 5.8579331545 -0.2 4.8 21 65 3 2 1 0 982 0 56 1 5.8579331545 -0.2 4.8 21 65 3 5 3 0 974 0 52 0 6.0402547113 0.9 0.1 0.34 85 3 4 3 1 979 0 36 0 6.0402547113 0.9 0.1 0.34 85 3 0 3 1 983 1 . 0 6.0402547113 0.9 0.1 0.34 85 3 1 1 1 983 0 44 0 6.0402547113 0.9 0.1 0.34 85 3 3 0 0 984 0 66 0 6.0402547113 0.9 0.1 0.34 85 3 3 1 1 963 1 55 1 6.2146080984 2.1 8 109 50 3 4 1 0 966 1 51 1 6.2146080984 2.1 8 109 50 3 4 1 0 970 1 52 1 6.2146080984 2.1 8 109 50 3 4 1 0 974 1 44 1 6.2146080984 2.1 8 109 50 3 4 1 0 978 0 54 1 6.2146080984 2.1 8 109 50 3 0 3 0 982 1 56 1 6.2146080984 2.1 8 109 50 3 1 3 1 982 1 56 1 6.2146080984 2.1 8 109 50 3 3 1 1 983 1 53 1 6.2146080984 2.1 8 109 50 3 1 0 0 986 0 44 1 6.2146080984 2.1 8 109 50 3 18 2 0 966 0 43 1 6.0161571597 0.5 0.79 215 85 3 2 0 0 985 0 56 1 6.0161571597 0.5 0.79 215 85 3 15 3 0 971 0 20 1 5.2983173665 1.1 5.9 28 23 3 1 0 1 985 1 54 1 5.2983173665 1.1 5.9 28 23 3 11 3 1 963 1 42 1 5.7683209958 0.6 4.4 112 56 3 3 3 1 975 1 44 1 5.7683209958 0.6 4.4 112 56 3 3 1 1 978 1 . 1 5.7683209958 0.6 4.4 112 56 3 4 1 0 982 0 48 1 5.7683209958 0.6 4.4 112 56 3 1 0 0 986 0 59 1 5.7683209958 0.6 4.4 112 56 3 5 1 0 962 0 78 0 6.8977049431 -0.5 2.2 11 74 3 0 2 0 967 0 55 0 6.8977049431 -0.5 2.2 11 74 3 5 1 0 967 0 44 0 6.8977049431 -0.5 2.2 11 74 3 8 1 0 972 0 48 0 6.8977049431 -0.5 2.2 11 74 3 7 0 0 980 0 50 0 6.8977049431 -0.5 2.2 11 74 3 6 1 0 964 0 53 0 6.7912214627 3.2 78.8 1973 88 3 6 1 0 970 0 48 0 6.7912214627 3.2 78.8 1973 88 3 6 1 0 976 0 52 0 6.7912214627 3.2 78.8 1973 88 3 5 0 0 982 0 48 0 6.7912214627 3.2 78.8 1973 88 3 3 2 1 963 0 53 0 6.2915691396 -1.8 3.3 130 88 3 0 3 0 966 0 66 0 6.2915691396 -1.8 3.3 130 88 3 11 3 1 967 1 34 0 6.2915691396 -1.8 3.3 130 88 3 6 0 1 981 0 36 1 6.2915691396 -1.8 3.3 130 88 3 4 3 0 964 0 59 0 6.82437367 2.9 2.2 77 90 3 0 1 1 968 0 . 0 6.82437367 2.9 2.2 77 90 3 0 1 0 968 0 63 0 6.82437367 2.9 2.2 77 90 3 12 2 1 968 1 39 0 6.82437367 2.9 2.2 77 90 3 0 3 1 981 1 . 0 6.82437367 2.9 2.2 77 90 3 0 3 1 982 1 48 0 6.82437367 2.9 2.2 77 90 3 5 0 1 982 1 . 0 6.82437367 2.9 2.2 77 90 3 0 3 0 962 0 67 1 6.429719478 0.1 18.6 1285 80 3 0 3 1 962 1 59 1 6.429719478 0.1 18.6 1285 80 3 0 1 1 963 1 . 1 6.429719478 0.1 18.6 1285 80 3 5 3 0 963 0 50 1 6.429719478 0.1 18.6 1285 80 3 6 3 1 968 1 58 1 6.429719478 0.1 18.6 1285 80 3 4 1 1 975 1 54 1 6.429719478 0.1 18.6 1285 80 3 2 0 0 985 0 36 1 6.429719478 0.1 18.6 1285 80 3 4 0 0 983 0 47 0 6.551080335 3.1 0.043 0.26 80 3 0 1 0 979 0 53 0 6.3456363608 3.1 0.136 0.62 78 3 2 1 0 979 0 62 0 6.3456363608 3.1 0.136 0.62 78 3 0 1 0 981 0 55 0 6.3456363608 3.1 0.136 0.62 78 3 0 1 0 982 0 36 0 6.3456363608 3.1 0.136 0.62 78 3 5 1 0 979 0 64 0 5.8579331545 1.8 0.119 0.39 82 3 3 0 0 984 0 53 0 5.8579331545 1.8 0.119 0.39 82 3 6 3 0 973 0 37 1 7.2225660188 4.5 0.393 163 65 3 1 1 1 980 0 43 1 7.2225660188 4.5 0.393 163 65 3 6 0 0 981 1 . 1 7.2225660188 4.5 0.393 163 65 3 19 2 0 962 0 50 1 6.8772960715 3.4 1.2 5 98 3 5 1 1 981 0 49 1 6.8772960715 3.4 1.2 5 98 3 1 0 0 986 0 60 1 6.8772960715 3.4 1.2 5 98 3 1 1 0 960 0 . 0 6.8564619846 2 3 176 94 3 1 1 0 961 0 . 0 6.8564619846 2 3 176 94 3 1 1 0 962 0 . 0 6.8564619846 2 3 176 94 3 1 1 0 963 0 . 0 6.8564619846 2 3 176 94 3 0 2 0 964 0 70 0 6.8564619846 2 3 176 94 3 0 1 0 965 0 50 0 6.8564619846 2 3 176 94 3 1 1 0 965 0 . 0 6.8564619846 2 3 176 94 3 0 1 0 966 0 50 0 6.8564619846 2 3 176 94 3 0 1 0 966 0 . 0 6.8564619846 2 3 176 94 3 0 1 0 967 1 66 0 6.8564619846 2 3 176 94 3 4 1 0 967 0 47 0 6.8564619846 2 3 176 94 3 5 3 0 971 0 43 0 6.8564619846 2 3 176 94 3 0 3 1 976 0 80 0 6.8564619846 2 3 176 94 3 5 3 1 976 0 72 0 6.8564619846 2 3 176 94 3 3 1 1 981 1 56 0 6.8564619846 2 3 176 94 3 2 0 0 985 0 49 0 6.8564619846 2 3 176 94 3 5 1 0 964 0 58 0 7.3963352938 1.5 17.3 912 86 3 5 1 0 969 0 53 0 7.3963352938 1.5 17.3 912 86 3 5 1 0 974 0 52 0 7.3963352938 1.5 17.3 912 86 3 5 1 0 979 0 53 0 7.3963352938 1.5 17.3 912 86 3 4 0 0 984 0 59 0 7.3963352938 1.5 17.3 912 86 3 ; ------------- RANK Data Set ------------- /* Data described in Ch. 7 of P. Allison, "Survival Analysis Using the SAS System: A Practical Guide." */ data rank; input dur event undgrad phdmed phdprest art1-art10 cit1-cit10 prest1 prest2 jobtime; cards; 10 0 7 0 2.21 0 0 2 2 2 2 2 2 2 2 0 0 1 1 1 1 1 1 1 1 2.36 2.36 . 4 1 6 0 2.21 8 10 14 18 . . . . . . 27 44 57 63 . . . . . . 1.84 2.88 3 4 0 4.95 0 2.21 0 0 0 2 . . . . . . 0 0 0 2 . . . . . . 2.4 2.4 . 10 0 2 1 4.54 2 3 3 3 3 4 6 6 6 6 11 17 17 17 17 20 24 24 24 24 2.56 2.56 . 7 1 5 1 2.15 1 1 1 2 2 3 5 . . . 14 14 14 19 19 20 23 . . . 2.4 2.4 . 6 1 4.95 0 4.54 0 2 3 5 5 6 . . . . 0 0 2 6 6 11 . . . . 3.36 3.36 . 10 0 6 1 4.54 5 5 5 5 5 5 5 6 6 6 29 29 29 29 29 29 29 31 31 31 2.88 1.94 4 6 1 4 1 2.96 3 4 7 8 8 9 . . . . 19 26 37 45 45 56 . . . . 2.2 2.2 . 4 0 4 1 1.63 8 8 10 11 . . . . . . 41 41 67 70 . . . . . . 3.2 3.2 . 5 1 5 1 2.96 0 1 1 1 2 . . . . . 0 0 0 0 5 . . . . . 2.72 2.72 . 6 1 5 1 1.63 8 10 12 18 20 24 . . . . 28 54 64 132 167 189 . . . . 2.11 2.11 . 6 0 4.95 1 2.86 6 9 12 14 21 25 . . . . 36 39 52 64 105 127 . . . . 3.2 3.2 . 7 1 5 1 3.36 11 17 18 19 20 23 32 . . . 62 91 101 106 107 119 165 . . . 3.68 3.68 . 6 1 4.95 1 4.54 1 1 2 3 8 10 . . . . 13 13 14 14 44 53 . . . . 3.68 3.68 . 5 1 5 1 3.54 12 13 14 15 17 . . . . . 140 142 146 151 162 . . . . . 2.12 2.12 . 4 1 5 1 4.54 0 0 0 1 . . . . . . 0 0 0 1 . . . . . . 1.94 1.94 . 7 0 5 0 3.69 1 3 3 3 3 3 4 . . . 31 66 66 66 66 66 67 . . . 2.72 2.72 . 7 1 5 1 2.32 1 1 1 1 2 5 5 . . . 3 3 3 3 6 24 24 . . . 2.52 2.52 . 5 1 5 1 1.95 5 7 8 10 13 . . . . . 115 136 143 191 244 . . . . . 3.52 3.52 . 5 1 6 1 1.86 3 4 7 7 8 . . . . . 17 21 40 40 52 . . . . . 1.79 1.79 . 3 1 5 1 2.54 3 3 3 . . . . . . . 7 7 7 . . . . . . . 1.96 1.47 3 10 0 4.95 0 3.4 2 2 2 2 2 2 3 4 6 6 17 17 17 17 17 17 29 39 42 42 3.52 1 10 6 1 4 0 4.54 8 8 9 12 14 15 . . . . 75 75 80 110 111 120 . . . . 4.48 2.36 4 10 0 3 1 2.12 1 1 1 1 1 1 2 2 2 2 0 0 0 0 0 0 2 2 2 2 2.72 3.2 4 7 1 5 1 2.32 1 1 1 1 3 4 4 . . . 2 2 2 2 7 9 9 . . . 2.56 2.56 . 4 1 6 1 2.96 11 12 12 12 . . . . . . 75 75 75 75 . . . . . . 2.2 2.2 . 9 0 6 1 3.69 4 6 7 8 10 12 12 13 13 . 47 51 62 74 86 111 111 112 112 . 3.36 1 9 5 1 5 1 2.39 7 7 7 7 7 . . . . . 16 16 16 16 16 . . . . . 1.48 1.48 . 5 1 7 0 3.36 6 7 7 11 14 . . . . . 130 143 143 167 197 . . . . . 3.52 3.52 . 8 1 5 1 3.69 7 7 8 9 10 12 15 15 . . 70 70 89 107 109 133 169 169 . . 3.36 2.24 8 5 1 4.95 0 3.92 2 3 6 8 9 . . . . . 0 7 19 30 36 . . . . . 2.39 3.2 5 8 1 6 1 1.95 6 6 8 8 9 9 9 11 . . 61 61 72 72 78 78 78 106 . . 2.36 3.2 8 4 1 4 0 2.96 2 2 2 2 . . . . . . 7 7 7 7 . . . . . . 2.56 2.56 . 4 1 1 0 3.92 5 6 7 7 . . . . . . 78 82 85 85 . . . . . . 2.56 2.56 . 4 1 4.95 1 4.62 8 11 11 11 . . . . . . 264 421 421 421 . . . . . . 4.64 4.64 . 4 0 3 0 1.52 1 2 2 2 . . . . . . 0 1 1 1 . . . . . . 1.68 1.68 . 4 1 6 1 3.54 8 9 14 21 . . . . . . 106 116 153 238 . . . . . . 3.04 3.04 . 8 1 4.95 1 4.54 7 8 9 11 12 14 14 24 . . 56 71 87 102 107 120 120 188 . . 3.36 3.36 . 10 0 4 1 2.5 2 4 4 6 7 8 9 9 9 10 25 42 42 51 52 55 56 56 56 58 2.11 2.11 . 4 1 6 1 4.54 12 13 15 17 . . . . . . 138 142 153 157 . . . . . . 2.36 2.36 . 5 0 3 1 3.92 2 2 2 3 5 . . . . . 27 27 27 44 70 . . . . . 2.18 2.18 . 9 1 5 1 3.4 0 1 1 1 1 3 3 3 6 . 0 7 7 7 7 13 13 13 24 . 1.97 1.97 . 6 1 7 0 3.54 7 7 9 9 10 12 . . . . 78 78 95 95 111 135 . . . . 3.68 2.88 2 5 1 5 0 4.62 5 6 10 13 15 . . . . . 36 46 53 61 67 . . . . . 2.72 2.72 . 3 0 7 1 1.78 9 10 10 . . . . . . . 45 45 45 . . . . . . . 2.56 2.56 . 5 1 3 1 2.51 11 15 15 17 18 . . . . . 52 60 60 65 81 . . . . . 2.21 2.21 . 8 1 5 1 2.51 10 10 11 12 12 12 12 13 . . 89 89 92 103 103 103 103 107 . . 3.68 1.72 8 5 0 3 1 1.22 1 1 1 1 1 . . . . . 2 2 2 2 2 . . . . . 2.72 2.72 . 3 0 4 0 1.86 2 2 2 . . . . . . . 32 32 32 . . . . . . . 1.05 1.05 . 5 1 7 1 4.62 22 25 28 31 35 . . . . . 209 237 272 290 396 . . . . . 4.64 4.64 . 4 0 4.95 1 2.87 4 4 7 7 . . . . . . 28 28 44 44 . . . . . . 2.47 3.84 2 6 1 5 0 3.4 9 10 12 13 16 17 . . . . 97 109 132 140 164 180 . . . . 3.52 2.26 3 4 1 3 0 2.58 2 6 9 13 . . . . . . 24 51 62 68 . . . . . . 1.99 1.99 . 3 0 4 0 1.68 1 1 1 . . . . . . . 4 4 4 . . . . . . . 1.68 1.68 . 4 1 6 0 3.92 7 8 11 12 . . . . . . 86 105 143 147 . . . . . . 2.11 2.11 . 4 1 6 1 3.54 3 3 5 8 . . . . . . 19 19 23 36 . . . . . . 2.72 2.72 . 6 1 6 1 1.78 10 11 12 12 16 18 . . . . 98 106 106 106 135 139 . . . . 3.2 3.2 . 5 1 7 1 3.92 5 9 10 11 14 . . . . . 22 73 84 92 153 . . . . . 3.2 3.2 . 10 0 5 1 4.54 2 3 3 3 3 4 4 4 4 6 18 24 24 24 24 24 24 24 24 30 2.72 4.32 4 4 1 4 1 3.36 4 5 5 7 . . . . . . 47 47 47 69 . . . . . . 1.26 1.26 . 4 1 4.95 1 3.92 18 26 36 44 . . . . . . 117 234 350 419 . . . . . . 3.36 3.36 . 7 1 4.95 0 4.25 6 10 15 16 19 21 28 . . . 143 178 185 185 204 227 266 . . . 4.48 3.2 7 10 0 4 1 1.76 6 6 6 6 7 7 7 7 8 9 13 13 13 13 13 13 13 13 16 16 1.9 1.9 . 5 1 6 0 2.87 7 7 7 8 8 . . . . . 84 84 84 94 94 . . . . . 2.72 2.72 . 9 0 4 0 3.4 0 0 2 3 3 3 4 5 5 . 0 0 11 21 21 21 21 22 22 . 2.35 1 9 7 1 6 1 3.69 2 4 5 6 8 8 11 . . . 24 31 34 37 58 58 94 . . . 3.36 1.26 7 4 1 4 1 1.76 6 7 7 10 . . . . . . 62 67 67 78 . . . . . . 2.88 2.88 . 10 1 7 0 4.25 4 4 4 4 6 6 6 7 8 11 73 73 73 73 84 84 84 90 92 106 4.48 1.95 10 6 1 7 1 2.58 4 4 5 6 7 8 . . . . 24 24 28 42 55 80 . . . . 2.5 2.5 . 6 1 6 1 2.83 1 1 1 1 2 3 . . . . 9 9 9 9 25 56 . . . . 3.36 3.04 6 3 1 6 1 3.4 18 21 23 . . . . . . . 344 381 400 . . . . . . . 4.64 3.36 3 6 1 5 0 2.86 0 0 0 2 3 3 . . . . 0 0 0 6 12 12 . . . . 3.2 3.2 . 9 1 7 0 4.62 0 1 1 1 1 1 1 2 3 . 0 20 20 20 20 20 20 22 28 . 3.04 3.04 . 8 1 4 0 2.86 3 4 4 5 7 7 8 8 . . 31 47 47 50 52 52 56 56 . . 1.4 2.39 4 7 0 7 1 3.69 1 4 6 6 6 7 7 . . . 20 27 47 47 47 73 73 . . . 3.52 3.52 . 4 1 3 1 3.92 3 3 4 5 . . . . . . 10 10 10 14 . . . . . . 3.52 3.52 . 5 1 6 1 2.87 5 16 17 18 19 . . . . . 17 181 196 278 312 . . . . . 3.84 2.88 5 3 0 4 1 2.54 3 3 4 . . . . . . . 22 22 30 . . . . . . . 2.88 2.88 . 9 0 3 1 2.83 4 5 6 6 6 7 8 8 8 . 26 26 31 31 31 43 46 46 46 . 3.04 3.68 4 9 0 4 1 4.62 6 8 9 15 20 20 32 44 49 . 133 149 157 216 294 294 496 724 864 . 2.52 2.52 . 9 1 5 1 3.4 4 5 9 10 10 12 13 15 15 . 17 24 38 59 59 67 69 75 75 . 3.52 2.52 5 7 0 6 1 3.54 2 2 2 2 2 2 2 . . . 37 37 37 37 37 37 37 . . . 2.15 2.15 . 4 1 2 1 1.51 4 5 6 6 . . . . . . 8 11 13 13 . . . . . . 2.88 2.88 . 8 1 5 0 2 1 1 5 8 10 12 14 16 . . 6 6 11 19 21 29 34 39 . . 1.74 2.39 3 6 0 4 1 1.68 1 1 1 3 6 9 . . . . 7 7 7 18 23 31 . . . . 1.9 1.9 . 5 1 7 1 4.62 11 12 14 20 28 . . . . . 166 185 236 306 428 . . . . . 4.64 3.52 5 10 1 1 1 1.68 5 5 5 11 14 16 18 18 18 18 14 14 14 57 120 176 194 194 194 194 2.11 2.11 . 5 1 7 1 2.83 4 5 5 8 8 . . . . . 18 18 18 94 94 . . . . . 1.53 1.37 3 6 1 7 0 4.14 2 5 7 7 10 11 . . . . 16 32 36 36 51 55 . . . . 4.32 3.52 6 7 1 7 0 4.14 1 1 3 3 5 7 8 . . . 20 20 29 29 35 83 83 . . . 3.68 3.68 . 7 0 4.95 1 4.62 2 2 2 2 2 5 5 . . . 28 28 28 28 28 84 84 . . . 2.52 2.52 . 3 1 6 1 3.36 0 1 1 . . . . . . . 0 10 10 . . . . . . . 2.88 1.5 3 5 1 4 0 4.54 2 2 2 3 3 . . . . . 11 11 11 11 11 . . . . . 1.65 1.65 . 5 1 6 1 2.54 1 1 5 7 7 . . . . . 0 0 7 8 8 . . . . . 1.91 1.47 5 5 1 5 0 2 2 2 3 3 4 . . . . . 9 9 15 15 36 . . . . . 2.56 3.2 4 4 1 7 0 4.54 10 10 10 12 . . . . . . 59 59 59 66 . . . . . . 2.45 2.56 2 4 1 4.95 0 4.54 4 6 6 8 . . . . . . 13 38 38 44 . . . . . . 1.94 1.94 . 3 1 6 0 1.42 3 3 5 . . . . . . . 1 1 5 . . . . . . . 1.75 1.75 . 7 1 7 1 4.62 3 7 7 7 7 7 8 . . . 28 77 77 77 77 77 82 . . . 1.68 1.68 . 2 0 4 1 2.96 0 1 . . . . . . . . 0 5 . . . . . . . . 2.88 2.88 . 8 1 6 1 3.47 1 2 2 3 4 6 8 9 . . 1 1 1 11 11 16 21 23 . . 2.88 2.88 . 10 0 4 1 4.29 2 2 2 2 2 4 6 8 8 8 6 6 6 6 6 6 8 19 19 19 2.21 2.21 . 7 1 4 1 2.61 0 1 2 3 3 3 3 . . . 0 2 3 7 7 7 7 . . . 1.22 1.94 7 6 1 4 0 2.76 6 8 9 13 13 17 . . . . 29 31 40 61 61 83 . . . . 3.2 1.47 6 6 1 6 1 4.29 2 3 3 4 5 6 . . . . 1 1 1 1 6 9 . . . . 2.1 2.1 . 5 0 5 1 2.1 1 3 3 4 4 . . . . . 3 12 12 18 18 . . . . . 1.63 1.63 . 7 1 4.95 1 3.62 3 3 5 10 14 23 31 . . . 3 3 14 26 45 93 149 . . . 3.04 3.04 . 6 1 4 1 3.59 5 6 6 8 8 8 . . . . 14 16 16 29 29 29 . . . . 3.68 3.2 6 8 1 7 1 3.41 4 8 14 16 21 22 23 23 . . 29 95 146 208 329 340 366 366 . . 2.11 2.88 6 3 1 5 1 3.59 10 11 13 . . . . . . . 84 98 101 . . . . . . . 3.36 3.36 . 4 1 7 0 4.29 2 3 6 7 . . . . . . 3 3 9 11 . . . . . . 3.36 3.36 . 6 1 6 1 2.15 4 6 8 8 10 11 . . . . 12 22 27 27 29 30 . . . . 3.04 3.04 . 5 1 5 1 4.29 4 4 4 5 6 . . . . . 19 19 19 31 37 . . . . . 2.1 2.1 . 8 1 6 1 4.29 4 4 4 4 7 8 9 13 . . 3 3 3 3 21 21 23 55 . . 1.94 1.94 . 8 0 4.95 1 4.29 0 0 0 0 0 0 0 0 . . 0 0 0 0 0 0 0 0 . . 2.72 2.72 . 10 0 6 1 4.29 5 6 8 11 13 15 17 17 20 23 23 23 27 32 35 39 45 45 67 97 3.36 3.36 . 7 1 6 0 3.62 5 6 7 8 10 11 13 . . . 23 38 42 49 60 62 74 . . . 2.56 2.18 7 6 1 7 0 2.61 3 6 11 13 20 29 . . . . 54 100 137 149 178 222 . . . . 3.68 3.68 . 5 1 5 1 2.5 3 5 5 7 7 . . . . . 8 16 16 23 23 . . . . . 2.72 3.2 5 4 1 5 1 4.29 0 0 1 2 . . . . . . 0 0 7 10 . . . . . . 1.9 3.36 4 7 1 6 1 2.14 0 0 1 3 4 6 7 . . . 0 0 5 33 46 90 164 . . . 1.96 1.96 . 9 0 5 0 4.29 2 2 3 3 9 11 17 19 26 . 26 26 35 35 70 78 95 113 152 . 2.56 2.56 . 3 0 7 0 3.41 5 6 8 . . . . . . . 65 101 139 . . . . . . . 3.52 1 3 4 0 5 1 4.29 5 7 7 7 . . . . . . 30 31 31 31 . . . . . . 3.36 3.36 . 6 1 3 0 4.29 0 0 0 1 2 4 . . . . 0 0 0 4 5 7 . . . . 1.5 1.5 . 6 0 5 1 2.36 1 1 1 2 4 5 . . . . 2 2 2 5 8 8 . . . . 2.72 2.72 . 5 1 5 1 2.76 5 5 5 6 7 . . . . . 80 80 80 95 104 . . . . . 3.2 3.2 . 3 1 5 0 4.29 0 0 0 . . . . . . . 0 0 0 . . . . . . . 2.72 3.36 3 5 1 4.95 1 4.29 0 0 1 2 4 . . . . . 0 0 1 5 27 . . . . . 2.72 3.36 5 3 0 4 0 2.05 1 1 1 . . . . . . . 0 0 0 . . . . . . . 1.32 1 3 8 1 3 1 4.29 0 1 3 4 6 8 10 10 . . 0 2 18 21 45 53 58 58 . . 2.56 2.56 . 2 0 3 0 3.59 12 15 . . . . . . . . 333 375 . . . . . . . . 3.84 1 2 10 0 4 0 4.29 5 5 7 8 9 11 11 11 11 12 24 24 28 40 44 57 57 57 57 72 2.5 2.5 . 5 1 5 0 4.29 5 9 13 17 25 . . . . . 78 99 127 159 185 . . . . . 3.04 3.04 . 5 1 5 1 3.41 12 12 14 14 15 . . . . . 420 420 566 566 579 . . . . . 3.36 3.36 . 7 1 6 1 3.59 0 0 0 0 1 2 2 . . . 0 0 0 0 9 12 12 . . . 3.04 3.04 . 10 1 7 1 2.26 1 1 2 2 2 2 2 2 2 3 1 1 3 3 3 3 3 3 3 3 3.68 3.68 . 6 0 4 0 4.47 0 1 1 4 5 6 . . . . 0 3 3 14 14 14 . . . . 3.36 3.36 . 5 1 5 1 3.19 2 2 2 2 2 . . . . . 13 13 13 13 13 . . . . . 1.56 1.56 . 4 1 4 1 3.47 6 7 7 10 . . . . . . 14 16 16 19 . . . . . . 3.36 3.36 . 3 1 5 1 4.29 5 5 5 . . . . . . . 9 9 9 . . . . . . . 2.02 2.02 . 6 1 4 0 2.1 1 1 2 2 4 6 . . . . 0 0 0 0 3 6 . . . . 3.52 3.52 . 7 1 6 0 3.59 3 3 4 4 6 8 9 . . . 8 8 8 8 12 19 22 . . . 3.04 3.68 7 4 1 5 0 4.29 0 1 1 6 . . . . . . 0 5 5 23 . . . . . . 3.84 3.84 . 4 1 3 1 1.81 3 4 4 7 . . . . . . 15 18 18 54 . . . . . . 1.94 1.94 . 6 1 6 1 3.59 6 8 11 15 18 20 . . . . 80 89 140 255 389 424 . . . . 3.36 3.36 . 4 0 4 0 4.29 10 12 14 14 . . . . . . 95 100 101 101 . . . . . . 1.63 1.63 . 10 0 6 1 2.1 2 2 2 2 2 3 3 3 5 6 7 7 7 7 7 14 14 14 26 30 2.37 2.37 . 4 1 7 0 4.29 7 8 8 11 . . . . . . 196 209 209 262 . . . . . . 3.84 3.84 . 10 0 3 1 2.51 4 5 6 7 10 13 18 22 27 29 8 8 13 14 39 62 86 100 134 141 1.96 1.96 . 3 1 5 0 3.15 9 12 13 . . . . . . . 179 188 205 . . . . . . . 3.2 3.2 . 4 1 4 0 3.15 5 5 6 9 . . . . . . 34 34 35 44 . . . . . . 1.9 1.9 . 5 0 7 1 4.62 3 3 3 7 8 . . . . . 105 105 105 120 131 . . . . . 2.23 2.23 . 5 1 5 1 1.86 1 1 2 3 4 . . . . . 5 5 6 7 7 . . . . . 1.53 1.53 . 6 1 3 1 2.56 4 5 5 6 6 7 . . . . 31 40 40 41 41 45 . . . . 0.65 0.65 . 3 1 7 1 4.25 4 5 6 . . . . . . . 72 78 82 . . . . . . . 2.56 2.56 . 3 1 3 1 2.96 21 27 36 . . . . . . . 105 126 173 . . . . . . . 2.56 2.56 . 5 1 5 1 3.54 6 7 10 11 11 . . . . . 68 71 84 84 84 . . . . . 1.9 1.9 . 5 1 7 0 2.96 3 6 7 9 10 . . . . . 34 56 74 94 99 . . . . . 1.86 1.86 . 6 1 4 1 4.54 5 6 7 9 9 11 . . . . 59 61 80 114 114 150 . . . . 2.3 2.3 . 2 1 4.95 1 2.83 7 8 . . . . . . . . 18 18 . . . . . . . . 3.2 3.2 . 6 1 4 1 2.39 2 2 3 3 6 6 . . . . 6 6 9 9 13 13 . . . . 1.53 1.53 . 5 1 4.95 0 3.69 2 2 3 5 6 . . . . . 20 20 25 48 57 . . . . . 4 4 . 7 1 4 1 3.4 1 1 1 1 1 1 1 . . . 20 20 20 20 20 20 20 . . . 3.52 3.52 . 9 1 6 1 1.97 7 8 9 10 12 14 15 16 17 . 35 47 48 61 67 95 130 160 218 . 3.52 3.52 . 6 1 7 1 3.36 4 4 5 6 7 8 . . . . 36 36 38 41 45 45 . . . . 2.02 2.02 . 6 1 7 1 2.83 5 5 5 6 6 8 . . . . 32 32 32 32 32 43 . . . . 2.72 2.72 . 5 1 4 0 4.54 3 3 4 6 10 . . . . . 70 70 72 86 117 . . . . . 2.88 2.88 . 5 1 4 0 4.62 1 2 4 4 4 . . . . . 5 13 32 32 32 . . . . . 2.09 1.99 3 6 1 5 1 2.5 7 9 10 11 12 15 . . . . 37 43 49 53 56 62 . . . . 1.48 1.48 . 9 1 3 1 2.58 6 9 9 9 11 13 14 17 21 . 66 66 66 66 73 91 103 154 233 . 2.11 2.11 . 7 1 4 0 1.72 8 11 13 13 13 14 16 . . . 61 76 91 91 91 92 104 . . . 1.84 1.84 . 4 1 7 1 3.69 3 3 4 6 . . . . . . 123 123 138 182 . . . . . . 2.3 2.3 . 10 0 5 1 3.92 8 9 9 9 10 10 10 10 10 10 125 126 126 126 126 126 126 126 126 126 2.56 2.56 . 6 0 4 0 1.22 0 1 1 3 7 7 . . . . 0 2 2 4 7 7 . . . . 1.44 1 6 4 0 4.95 1 1.68 0 0 0 0 . . . . . . 0 0 0 0 . . . . . . 1.1 1 4 6 0 3 0 2.96 0 1 1 1 1 1 . . . . 0 0 0 0 0 0 . . . . 1.4 1.4 . 7 1 5 1 2.96 2 3 3 3 3 9 10 . . . 6 24 24 24 24 49 50 . . . 2.4 2.4 . 6 1 5 1 3.15 8 8 10 10 10 11 . . . . 59 59 66 66 66 86 . . . . 1.7 1.7 . 4 1 4 1 2.51 4 7 8 8 . . . . . . 89 149 165 165 . . . . . . 3.84 1.37 3 5 1 4.95 1 4.54 15 15 17 20 22 . . . . . 103 103 121 221 238 . . . . . 2.36 2.36 . 6 0 4 0 4.54 5 5 5 5 5 5 . . . . 27 27 27 27 27 27 . . . . 3.04 3.04 . 5 1 5 0 2.96 1 3 4 5 5 . . . . . 1 3 17 17 17 . . . . . 2.24 2.24 . 9 0 3 1 1.42 0 0 0 0 0 1 1 3 4 . 0 0 0 0 0 2 2 4 6 . 1.84 1.84 . 7 1 5 0 3.09 7 8 9 11 14 18 22 . . . 35 36 39 47 59 70 74 . . . 2.24 2.24 . 10 0 5 1 2.54 11 11 13 13 15 16 17 17 18 18 187 187 199 199 199 244 245 245 245 245 1.47 1.47 . 4 1 4 1 4.14 0 0 6 7 . . . . . . 0 0 26 26 . . . . . . 3.2 3.2 . 3 0 5 1 2.21 2 2 2 . . . . . . . 18 18 18 . . . . . . . 2.49 2.49 . 4 0 4 1 2 1 1 2 4 . . . . . . 1 1 19 35 . . . . . . 2.56 2.56 . 3 0 1 1 1.18 0 0 0 . . . . . . . 0 0 0 . . . . . . . 1.5 1.5 . 3 0 7 1 3.69 4 7 7 . . . . . . . 100 143 143 . . . . . . . 3.36 3.36 . 6 1 6 1 2.21 8 8 8 10 11 11 . . . . 173 173 173 186 190 190 . . . . 2.4 2.56 6 2 0 7 0 3.36 1 1 . . . . . . . . 1 1 . . . . . . . . 2.52 2.52 . 3 1 7 1 3.4 6 7 7 . . . . . . . 35 45 45 . . . . . . . 2.56 2.56 . 4 1 4 1 2.86 10 13 16 16 . . . . . . 38 40 46 46 . . . . . . 1.48 1.48 . 7 1 5 1 2.2 0 0 0 0 2 2 2 . . . 0 0 0 0 1 1 1 . . . 2.15 2.15 . 6 1 4.95 0 2.54 12 14 14 15 22 25 . . . . 154 175 175 180 238 257 . . . . 3.52 3.52 . 7 0 7 0 4.25 8 9 9 10 10 12 14 . . . 263 267 267 268 268 287 313 . . . 2.88 1 7 2 0 7 1 1.76 4 4 . . . . . . . . 40 40 . . . . . . . . 1.94 1.94 . 7 1 4.95 1 3.69 5 6 9 10 11 12 16 . . . 30 35 68 76 83 117 169 . . . 3.36 3.36 . 5 1 4.95 1 2.51 2 3 5 9 10 . . . . . 17 22 37 64 77 . . . . . 3.84 3.84 . 7 1 2 1 1.68 3 3 5 5 6 6 6 . . . 6 6 11 11 13 13 13 . . . 1.8 1.8 . 4 1 7 0 2.83 5 6 6 7 . . . . . . 59 79 79 91 . . . . . . 3.36 3.36 . 5 1 4.95 0 4.54 7 8 9 11 12 . . . . . 73 80 97 113 113 . . . . . 2.88 2.88 . 4 0 4 0 2.87 4 4 5 6 . . . . . . 39 39 44 50 . . . . . . 2.22 2.22 . 7 1 5 0 3.4 4 4 4 5 7 10 13 . . . 42 42 42 56 68 94 108 . . . 3.52 3.52 . 5 0 4.95 1 2.56 1 5 11 17 23 . . . . . 22 47 89 155 187 . . . . . 2.72 2.72 . 4 1 5 0 2.96 2 2 2 3 . . . . . . 0 0 0 4 . . . . . . 3.04 3.04 . 7 1 5 0 4.54 1 1 2 3 4 6 7 . . . 5 5 13 22 31 40 41 . . . 2.47 2.47 . 6 1 6 1 0.92 0 1 1 1 3 5 . . . . 0 22 22 22 25 62 . . . . 0.98 2.24 3 3 1 4 0 2.96 8 10 13 . . . . . . . 23 25 29 . . . . . . . 1.82 1.82 . 5 1 6 1 3.54 3 3 5 6 6 . . . . . 11 11 27 30 30 . . . . . 1.94 1.94 . 6 1 7 0 3.69 4 4 5 7 8 8 . . . . 48 48 49 68 76 76 . . . . 3.68 1.58 6 6 1 7 1 4.62 8 9 10 10 12 16 . . . . 60 60 61 61 72 102 . . . . 4.64 4.64 . 7 1 6 1 3.15 4 5 7 7 9 10 10 . . . 58 71 82 82 90 94 94 . . . 3.2 3.2 . 3 1 7 1 4.62 8 12 16 . . . . . . . 45 183 227 . . . . . . . 3.52 3.52 . 1 0 4 0 2.96 10 . . . . . . . . . 165 . . . . . . . . . 3.52 3.52 . 4 1 5 1 4.25 4 5 8 12 . . . . . . 46 70 96 129 . . . . . . 3.52 3.52 . 5 0 4 1 1.97 2 2 2 2 2 . . . . . 3 3 3 3 3 . . . . . 3.52 3.52 . 10 0 4.95 1 2.51 0 0 0 0 1 1 2 3 4 4 0 0 0 0 0 0 1 2 9 9 2.1 2.1 . 2 0 5 0 2.96 0 0 . . . . . . . . 0 0 . . . . . . . . 3.2 3.2 . 6 1 4.95 1 2.39 3 4 5 5 5 5 . . . . 10 12 20 20 20 20 . . . . 3.36 1.4 6 7 1 5 0 3.09 5 6 6 7 8 9 10 . . . 44 53 53 60 63 66 71 . . . 2.56 2.56 . 7 1 4 0 2.55 1 5 5 5 5 7 8 . . . 7 54 54 54 54 65 72 . . . 1.88 1.88 . 10 0 7 0 4.14 1 1 1 1 2 4 6 6 6 7 1 1 1 1 5 6 10 10 10 10 3.04 1.4 9 4 1 4.95 0 2.86 10 14 18 21 . . . . . . 16 20 23 69 . . . . . . 2.52 2.72 2 10 0 5 1 2.32 1 1 2 2 2 2 3 3 3 5 4 4 4 4 4 4 6 6 6 26 3.04 3.04 . 3 0 4 0 1.52 0 0 3 . . . . . . . 0 0 2 . . . . . . . 1.3 1.3 . 6 1 3 0 2.55 2 4 7 9 9 11 . . . . 2 4 28 37 37 39 . . . . 1.32 1.32 . 5 1 6 1 4.62 4 7 7 7 7 . . . . . 20 40 40 40 40 . . . . . 2.52 2.52 . 5 0 4 0 3.19 3 3 3 3 3 . . . . . 31 31 31 31 31 . . . . . 2.56 1 5 5 0 5 0 4.29 0 0 0 3 3 . . . . . 0 0 0 20 20 . . . . . 1.94 1.94 . 10 0 1 0 2.76 2 2 3 3 4 6 6 8 8 11 2 2 3 3 3 6 6 7 7 16 2.72 2.18 4 10 0 5 1 2.12 1 1 2 2 2 2 2 2 2 2 4 4 7 7 7 7 7 7 7 7 4 1.84 3 4 1 7 1 4.34 3 6 10 12 . . . . . . 16 26 66 80 . . . . . . 2.12 2.12 . 7 0 5 0 4.29 2 2 3 4 5 7 8 . . . 2 2 2 3 3 5 7 . . . 1.84 1.84 . 8 1 3 1 4.29 4 4 5 6 10 13 17 18 . . 21 21 24 35 44 52 72 77 . . 3.36 3.36 . 10 0 1 1 2.61 2 3 3 3 4 4 5 5 5 5 11 14 14 14 19 19 23 23 23 23 2.88 2.88 . 5 1 6 1 3.47 3 3 6 7 11 . . . . . 27 27 70 101 124 . . . . . 3.2 3.2 . 6 1 6 1 2.5 3 6 8 10 11 12 . . . . 2 11 15 20 21 21 . . . . 1.9 1.9 . 5 1 4.95 1 1.81 3 3 4 4 6 . . . . . 21 21 37 37 58 . . . . . 1.94 1.94 . 6 1 5 0 4.29 0 0 0 0 0 0 . . . . 0 0 0 0 0 0 . . . . 2.72 2.72 . 6 1 5 0 2.1 0 1 1 2 2 2 . . . . 0 1 1 3 3 3 . . . . 1.53 1.53 . 7 1 5 1 1.8 7 8 8 8 8 10 11 . . . 40 41 41 41 41 47 49 . . . 2.16 2.16 . 7 1 7 0 4.29 4 4 6 8 13 16 20 . . . 25 25 34 59 97 126 160 . . . 3.04 3.04 . 7 1 4.95 1 2.26 0 3 5 5 5 8 9 . . . 0 3 12 12 12 34 38 . . . 2.11 2.11 . 10 1 6 1 2.58 0 1 1 1 1 1 1 2 3 4 0 15 15 15 15 15 15 28 36 45 2.56 2.08 3 5 1 4 1 3.47 8 9 10 14 16 . . . . . 222 225 245 299 301 . . . . . 3.04 3.04 . 6 1 3 0 4.29 3 4 10 12 17 18 . . . . 19 44 86 97 127 136 . . . . 4.16 3.04 3 2 0 5 0 2.76 0 1 . . . . . . . . 0 9 . . . . . . . . 1.86 1.86 . 1 1 6 1 2.1 2 . . . . . . . . . 155 . . . . . . . . . 2.4 2.4 . 10 0 3 1 1.75 1 2 2 2 2 2 2 3 4 4 0 19 19 19 19 19 19 22 25 25 2.49 2.49 . 5 1 7 0 3.59 2 2 2 5 5 . . . . . 62 62 62 88 88 . . . . . 2.02 2.02 . 9 1 5 0 2.1 0 0 1 1 2 3 3 3 7 . 0 0 1 1 3 10 10 10 34 . 2.56 2.56 . 5 1 7 1 3.59 3 4 6 8 12 . . . . . 21 27 39 45 69 . . . . . 3.52 2.22 5 6 1 3 0 1.25 4 5 7 9 10 15 . . . . 13 14 21 32 35 55 . . . . 1.53 1.53 . 6 1 4.95 1 3.47 13 13 16 18 23 27 . . . . 235 235 282 312 375 430 . . . . 3.52 3.52 . 8 1 4.95 1 1.81 4 6 8 9 12 13 15 19 . . 6 13 43 68 118 119 157 241 . . 1.94 1.84 3 3 1 4.95 1 3.59 7 7 7 . . . . . . . 281 281 281 . . . . . . . 3.04 3.04 . 6 1 3 0 1.74 1 1 2 3 4 6 . . . . 0 0 3 7 21 27 . . . . 1.72 1.72 . 8 1 5 0 3.19 3 3 3 3 3 3 4 7 . . 8 8 8 8 8 8 14 18 . . 3.04 3.04 . 5 1 5 0 4.29 1 1 3 5 5 . . . . . 6 6 10 17 17 . . . . . 1.58 1.58 . 6 1 7 1 3.41 7 7 8 9 11 12 . . . . 53 53 64 71 85 88 . . . . 3.2 3.2 . 5 1 7 1 4.34 4 5 9 12 16 . . . . . 15 37 79 115 137 . . . . . 3.36 3.36 . 8 1 4.95 1 2.1 7 7 8 9 9 12 12 15 . . 23 23 37 48 48 71 71 75 . . 3.2 3.2 . 9 1 7 0 4.29 1 1 1 1 1 1 3 3 3 . 4 4 4 4 4 4 7 7 7 . 2.56 1.9 9 5 1 4.95 1 4.29 4 8 8 10 13 . . . . . 55 79 79 82 120 . . . . . 2.56 2.72 3 4 1 4.95 0 1.75 2 4 4 7 . . . . . . 8 45 45 55 . . . . . . 1.98 1.98 . 5 1 7 1 4.34 9 9 11 14 15 . . . . . 212 212 267 352 356 . . . . . 3.52 3.52 . 3 1 4.95 0 3.47 7 9 14 . . . . . . . 64 64 124 . . . . . . . 3.84 1.72 3 6 1 4 1 4.34 5 7 10 12 16 19 . . . . 121 154 162 163 259 341 . . . . 4.64 4.64 . 3 0 4 1 1.25 2 2 2 . . . . . . . 7 7 7 . . . . . . . 2.08 2.08 . 4 1 5 0 4.29 0 1 5 8 . . . . . . 0 7 33 46 . . . . . . 2.72 2.72 . 7 1 7 1 3.62 6 11 15 19 24 28 32 . . . 50 74 116 143 155 174 191 . . . 2.1 2.1 . 5 1 4 0 4.29 2 5 5 6 7 . . . . . 31 82 82 90 95 . . . . . 1.53 3.84 5 10 0 6 1 3.34 0 3 3 3 4 5 5 5 6 7 0 58 58 58 60 61 61 61 63 65 3.52 2.1 7 5 1 5 0 4.29 2 2 2 2 3 . . . . . 5 5 5 5 8 . . . . . 2.56 2.56 . 5 1 6 1 3.42 1 2 3 5 5 . . . . . 4 12 21 61 61 . . . . . 1.95 1.95 . 6 1 5 1 3.59 19 21 23 26 29 36 . . . . 112 131 134 159 163 179 . . . . 1.26 1.26 . 4 1 2 0 4.29 4 6 7 7 . . . . . . 18 150 152 152 . . . . . . 3.2 3.2 . 4 1 4 0 4.29 3 4 5 8 . . . . . . 3 4 6 10 . . . . . . 3.2 3.2 . 5 0 5 1 2.1 4 5 5 5 5 . . . . . 9 10 10 10 10 . . . . . 3.04 3.04 . 3 1 7 1 1.8 3 5 7 . . . . . . . 93 114 121 . . . . . . . 1.94 1.94 . 10 0 2 0 4.29 4 4 6 6 13 19 22 27 33 35 107 107 114 114 222 270 316 424 505 566 3.04 3.04 . 3 1 7 0 3.85 9 13 16 . . . . . . . 111 152 164 . . . . . . . 3.2 3.2 . 8 0 5 1 2.1 1 2 2 4 7 7 9 11 . . 18 25 25 32 33 33 36 36 . . 2.1 2.1 . 4 1 4 1 2.26 4 4 5 5 . . . . . . 60 60 67 67 . . . . . . 1.94 1.94 . 5 1 4 1 4.29 6 6 6 8 11 . . . . . 28 28 28 40 53 . . . . . 2.12 2.12 . 4 1 5 0 4.29 2 2 3 12 . . . . . . 6 6 14 39 . . . . . . 3.84 3.84 . 7 1 4.95 1 3.85 5 6 6 7 8 11 11 . . . 42 47 47 51 61 100 100 . . . 3.52 3.36 7 5 1 4 1 4.34 3 3 3 4 5 . . . . . 39 39 39 44 55 . . . . . 1.83 1.83 . 5 1 5 1 2.76 5 7 9 11 15 . . . . . 13 22 53 62 195 . . . . . 2.11 2.11 . 10 0 4.95 0 4.29 0 1 1 1 2 3 4 4 4 4 0 1 1 1 3 3 8 8 8 8 3.84 3.84 . 4 1 4.95 1 2.58 6 6 7 8 . . . . . . 23 23 32 34 . . . . . . 2.88 2.88 . 4 0 7 1 2.12 1 1 4 4 . . . . . . 5 5 16 16 . . . . . . 1.84 1 2 6 1 6 0 3.59 3 6 6 8 8 9 . . . . 34 84 84 177 177 177 . . . . 3.52 2.52 2 6 1 4.95 1 1.81 1 1 1 2 3 4 . . . . 4 4 4 4 5 5 . . . . 1.94 1.94 . 4 1 7 1 3.59 3 3 4 4 . . . . . . 15 15 20 20 . . . . . . 4.64 4.64 . 8 1 7 0 3.85 5 5 6 9 10 11 13 19 . . 58 58 67 109 114 118 131 259 . . 3.52 3.84 4 5 1 7 1 4.29 5 6 7 9 9 . . . . . 43 59 81 92 92 . . . . . 1.89 2.56 5 3 0 3 1 1.38 4 8 9 . . . . . . . 20 34 46 . . . . . . . 1.89 1.89 . ; ---------------- JOBMULT Data Set ---------------- /* Data analyzed in Chapter 8 of P.D. Allison, "Survival Analysis Using the SAS System: A Practical Guide." */ data jobmult; input id event ed j duration prestige logsal; cards; 1 1 7 1 2.3574626115 27 2.302585093 1 1 7 2 4.5454248125 31 1.3862943611 1 1 7 3 1.0863848663 8 2.0794415417 1 1 7 4 3.5893252019 22 2.8332133441 1 1 7 5 4.6676423688 30 3.4011973817 1 0 7 6 3.753760139 24 3.1354942159 2 0 14 1 20 69 3.3322045102 3 1 16 1 7.3752667661 69 3.5835189385 3 1 16 2 11.263194792 60 3.8501476017 3 0 16 3 1.3615384421 56 3.8286413965 4 1 12 1 1.1435702634 27 2.5649493575 4 1 12 2 0.7879557095 35 2.1972245773 4 1 12 3 1.0437080519 30 2.7725887222 4 1 12 4 0.2345886959 15 2.5649493575 4 1 12 5 0.7982759122 39 3.2188758249 4 1 12 6 1.216753259 41 3.5263605246 4 1 12 7 0.9160367932 24 3.4339872045 4 1 12 8 0.3173837622 26 3.36729583 4 1 12 9 0.6573286654 45 3.8286413965 4 1 12 10 1.7036323919 41 3.9120230054 5 1 9 1 1.4998131721 22 1.9459101491 5 1 9 2 1.4100322042 25 1.3862943611 5 1 9 3 1.1721396761 12 2.302585093 5 1 9 4 2.9705929199 44 3.295836866 5 1 9 5 1.9368951509 20 2.9957322736 5 1 9 6 2.960302413 37 3.6109179126 5 1 9 7 1.0324953553 17 3.1354942159 5 1 9 8 1.8770488965 46 3.6888794541 5 1 9 9 1.7709175213 33 3.36729583 5 1 9 10 2.6266166365 30 3.4011973817 6 0 11 1 20 75 3.4657359028 7 1 13 1 13.401376401 49 3.1780538303 7 0 13 2 6.5986235989 60 3.4965075615 8 1 10 1 9.7241320156 40 2.4849066498 8 0 10 2 10.275867984 49 3.295836866 9 0 12 1 20 72 3.5263605246 10 1 7 1 0.7858511755 40 2.5649493575 10 1 7 2 0.1775990392 10 1.7917594692 10 1 7 3 0.2177831927 12 1.3862943611 10 1 7 4 0.4371186474 16 2.302585093 10 1 7 5 0.4879911093 16 1.6094379124 10 1 7 6 0.4758633156 14 1.3862943611 10 1 7 7 0.3096340975 7 2.1972245773 10 1 7 8 0.2923481637 7 1.0986122887 10 1 7 9 0.3435437703 22 2.8903717579 10 1 7 10 0.5130830586 7 2.7080502011 11 1 13 1 14.477078769 57 3.0445224377 11 0 13 2 5.5229212312 60 3.7135720667 12 0 17 1 20 90 3.5835189385 13 1 11 1 2.6498135583 23 2.302585093 13 1 11 2 2.2640001973 13 2.302585093 13 1 11 3 7.9025713034 51 3.2188758249 13 1 11 4 4.0005145242 39 3.5553480615 13 0 11 5 3.1831004168 45 3.7135720667 14 1 7 1 7.3750186014 39 1.3862943611 14 1 7 2 10.631107228 42 2.3978952728 14 0 7 3 1.9938741703 29 2.1972245773 15 1 11 1 5.9234201639 54 3.0445224377 15 1 11 2 13.004796081 65 3.5553480615 15 0 11 3 1.0717837555 51 3.4657359028 16 0 13 1 20 78 3.6109179126 17 1 11 1 9.074370784 53 2.7725887222 17 0 11 2 10.925629216 41 3.36729583 18 1 11 1 13.525793846 43 2.5649493575 18 0 11 2 6.4742061539 48 2.9444389792 19 1 12 1 1.0881169768 36 3.0445224377 19 1 12 2 1.1219577829 36 3.1780538303 19 1 12 3 0.7718212321 25 2.6390573296 19 1 12 4 2.1439319904 40 3.0445224377 19 1 12 5 1.3360824974 43 3.4965075615 19 1 12 6 1.903271812 35 3.5835189385 19 1 12 7 1.3105737174 34 3.7376696183 19 1 12 8 2.4471136052 47 3.7841896339 19 1 12 9 3.2578308028 54 3.9702919136 19 1 12 10 0.9484471584 24 3.6635616461 20 1 12 1 16.935815839 69 3.0445224377 20 0 12 2 3.0641841609 33 2.4849066498 21 1 10 1 5.8554756448 26 2.7725887222 21 1 10 2 4.726544498 61 3.6109179126 21 0 10 3 9.4179798572 35 3.36729583 22 1 12 1 1.4217010087 39 2.7725887222 22 1 12 2 2.4216911118 36 2.8903717579 22 1 12 3 1.49164587 33 3.36729583 22 1 12 4 0.8770370605 36 3.0910424534 22 1 12 5 1.2741183998 24 3.1354942159 22 1 12 6 2.1037584172 37 3.5263605246 22 1 12 7 0.5553573942 23 2.6390573296 22 1 12 8 1.0485266202 36 3.3322045102 22 1 12 9 1.5060301196 34 3.36729583 22 1 12 10 1.0956467747 18 3.1780538303 23 1 9 1 3.0944371837 44 2.9957322736 23 1 9 2 1.6618345372 9 2.0794415417 23 1 9 3 2.9130625788 25 2.3978952728 23 1 9 4 5.5163227642 38 2.6390573296 23 1 9 5 4.3524113713 39 3.258096538 23 0 9 6 2.4619315649 32 3.4339872045 24 1 14 1 9.7048843458 73 3.5553480615 24 0 14 2 10.295115654 63 3.9318256327 25 1 12 1 4.0036833453 44 2.7725887222 25 1 12 2 2.8361937581 36 2.9444389792 25 1 12 3 1.3686502905 34 2.8332133441 25 1 12 4 6.2115631698 71 3.6109179126 25 1 12 5 5.579265227 48 4.0604430105 25 0 12 6 0.0006442094 25 3.6109179126 26 0 15 1 20 79 3.8501476017 27 1 12 1 9.0833968925 49 3.1354942159 27 1 12 2 6.2262338392 52 3.5835189385 27 0 12 3 4.6903692683 34 3.1780538303 28 1 13 1 7.2214102879 55 3.1780538303 28 1 13 2 12.54020489 61 3.5835189385 28 0 13 3 0.2383848224 58 3.8918202981 29 1 12 1 4.6118670074 56 2.8903717579 29 1 12 2 5.7354790603 34 1.7917594692 29 0 12 3 9.6526539323 60 3.258096538 30 1 9 1 16.3306989 50 3.1780538303 30 0 9 2 3.6693011 35 2.9957322736 31 1 14 1 1.5522937418 44 1.6094379124 31 1 14 2 4.5260644254 47 3.0445224377 31 1 14 3 6.5725981079 54 3.36729583 31 1 14 4 0.887805283 45 3.36729583 31 1 14 5 4.9191638136 64 3.8712010109 31 0 14 6 1.5420746283 54 4.0430512678 32 1 12 1 1.2855006866 48 2.6390573296 32 1 12 2 1.3392188456 14 2.302585093 32 1 12 3 2.2161169291 33 3.295836866 32 1 12 4 0.841555929 16 2.1972245773 32 1 12 5 0.708384274 38 3.0445224377 32 1 12 6 2.3393629545 24 3.0445224377 32 1 12 7 1.2045053654 38 3.5553480615 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0.6013213419 15 2.9957322736 76 1 8 10 0.7144690485 30 3.6375861597 77 1 11 1 2.4897747814 34 2.8332133441 77 1 11 2 3.0103588886 43 3.2188758249 77 1 11 3 3.1554533203 25 2.9957322736 77 1 11 4 4.1387434586 41 3.2188758249 77 1 11 5 5.2891325849 50 3.8286413965 77 0 11 6 1.9165369661 51 3.8501476017 78 1 8 1 4.7373520188 41 2.9957322736 78 1 8 2 0.7933330236 36 1.9459101491 78 1 8 3 2.9626886269 26 1.7917594692 78 1 8 4 6.5665093662 37 2.8332133441 78 1 8 5 2.3091619439 40 3.0910424534 78 0 8 6 2.6309550206 40 3.4965075615 79 1 11 1 4.8514354998 43 2.8332133441 79 1 11 2 3.1333235134 26 2.4849066498 79 1 11 3 5.266379841 42 3.0445224377 79 1 11 4 4.578441651 47 2.9957322736 79 0 11 5 2.1704194947 44 3.258096538 80 1 13 1 17.490693941 57 2.9444389792 80 0 13 2 2.5093060594 54 3.4965075615 81 1 15 1 1.7521478773 43 1.7917594692 81 1 15 2 1.7385618522 47 3.3322045102 81 1 15 3 2.9180152587 40 3.4339872045 81 1 15 4 1.5409824667 36 3.4011973817 81 1 15 5 2.9999190644 42 3.7841896339 81 1 15 6 2.0314499785 49 3.8918202981 81 1 15 7 2.3050527661 47 3.8712010109 81 1 15 8 4.2800686532 51 4.0604430105 81 0 15 9 0.433802083 26 3.7376696183 82 0 9 1 20 48 3.1354942159 83 1 12 1 1.5953577765 42 2.302585093 83 1 12 2 1.2119014547 39 2.8332133441 83 1 12 3 3.0117136966 47 3.4339872045 83 1 12 4 2.9956128927 42 3.6635616461 83 1 12 5 4.5970441185 38 3.5835189385 83 1 12 6 2.6017363881 46 3.6635616461 83 1 12 7 3.7007545501 44 3.6375861597 83 0 12 8 0.2858791228 39 3.8066624898 84 1 10 1 2.7648575267 33 2.7725887222 84 1 10 2 1.9521486137 35 2.3978952728 84 1 10 3 4.530573523 39 2.4849066498 84 1 10 4 1.7559163519 31 0.6931471806 84 1 10 5 2.5021550036 46 3.4339872045 84 1 10 6 2.7090250409 23 3.258096538 84 1 10 7 2.9435560938 33 3.1780538303 84 0 10 8 0.8417678464 44 3.8712010109 85 1 14 1 8.9430452773 68 3.295836866 85 0 14 2 11.056954723 54 3.4011973817 86 1 8 1 2.0952352667 34 0.6931471806 86 1 8 2 3.2976189619 35 2.4849066498 86 1 8 3 3.9059326384 41 2.302585093 86 1 8 4 2.8459288742 17 2.3978952728 86 1 8 5 6.3708088237 48 3.4657359028 86 0 8 6 1.4844754352 35 3.5835189385 87 0 15 1 20 67 3.4965075615 88 1 11 1 5.9056198358 49 2.8903717579 88 1 11 2 8.7417858444 39 2.4849066498 88 0 11 3 5.3525943198 42 2.8332133441 89 0 13 1 20 70 3.0445224377 90 0 17 1 20 90 3.7841896339 91 1 13 1 2.2470322542 52 2.8903717579 91 1 13 2 1.5656360361 46 3.258096538 91 1 13 3 2.5223373832 47 3.7612001157 91 1 13 4 2.0624744478 37 3.6109179126 91 1 13 5 1.8294250041 41 3.4965075615 91 1 13 6 0.8574360022 40 3.7376696183 91 1 13 7 1.227431173 46 3.9512437186 91 1 13 8 1.5179675391 26 3.6109179126 91 1 13 9 2.3146135253 51 3.8286413965 91 1 13 10 1.4915164307 35 3.7376696183 92 0 12 1 20 86 3.5263605246 93 1 14 1 4.2010132153 38 2.5649493575 93 0 14 2 15.798986785 72 3.4339872045 94 0 13 1 20 66 3.9318256327 95 0 12 1 20 51 2.8903717579 96 1 11 1 9.5122953936 53 2.7080502011 96 1 11 2 6.8875988508 45 3.258096538 96 0 11 3 3.6001057556 48 3.4657359028 97 1 10 1 1.0598622483 47 2.7080502011 97 1 10 2 0.991527639 33 2.7725887222 97 1 10 3 0.9966257462 15 2.302585093 97 1 10 4 1.2119716962 34 3.295836866 97 1 10 5 0.6998590473 26 3.0445224377 97 1 10 6 1.1562350088 30 3.0445224377 97 1 10 7 1.3409627242 19 2.9957322736 97 1 10 8 3.0876458188 44 3.5263605246 97 1 10 9 0.845663316 28 3.4011973817 97 1 10 10 1.1537511605 34 3.3322045102 98 1 9 1 1.5737475702 8 2.302585093 98 1 9 2 2.4057024749 34 2.1972245773 98 1 9 3 4.4160894504 42 3.258096538 98 1 9 4 3.1014497063 33 3.0910424534 98 1 9 5 0.8820722451 10 1.7917594692 98 1 9 6 1.1721615955 34 2.9444389792 98 1 9 7 1.370730855 31 2.9957322736 98 1 9 8 2.6569946404 45 3.5553480615 98 0 9 9 2.4210514623 38 3.7376696183 99 0 16 1 20 78 3.36729583 100 1 10 1 2.5168290804 38 1.3862943611 100 1 10 2 2.2938721332 30 2.7725887222 100 1 10 3 4.1596703242 34 2.8903717579 100 1 10 4 2.275813045 28 2.3978952728 100 1 10 5 3.5801071035 50 3.4011973817 100 1 10 6 5.0533967186 41 3.5263605246 100 0 10 7 0.120311595 56 3.8066624898 ; ************************************************************************* ************************************************************************* PROGRAMS --------- Chapter 3 --------- /* The following program is found on page 31 of */ "Survival Analysis Using the SAS System." */ data myel; input dur status treat renal; cards; 8 1 1 1 180 1 2 0 632 1 2 0 852 0 1 0 52 1 1 1 2240 0 2 0 220 1 1 0 63 1 1 1 195 1 2 0 76 1 2 0 70 1 2 0 8 1 1 0 13 1 2 1 1990 0 2 0 1976 0 1 0 18 1 2 1 700 1 2 0 1296 0 1 0 1460 0 1 0 210 1 2 0 63 1 1 1 1328 0 1 0 1296 1 2 0 365 0 1 0 23 1 2 1 run; proc lifetest data=myel; time dur*status(0); run; /* The following programs are found on page 34 of */ /* "Survival Analysis Using the SAS System." */ proc lifetest data=myel plots=(s) graphics; time dur*status(0); symbol1 v=none; run; proc lifetest data=myel outsurv=a; time dur*status(0); run; /* The following program is found on page 35 of */ /* "Survival Analysis Using the SAS System." */ proc print data=a; run; /* The following program is found on page 36 of */ /* "Survival Analysis Using the SAS System." */ proc lifetest data=myel plots=(s) graphics; time dur*status(0); strata treat; symbol1 v=none color=black line=1; symbol2 v=none color=black line=2; run; /* The following program is found on page 43 of */ /* "Survival Analysis Using the SAS System." */ proc lifetest data=recid method=life; time week*arrest(0); run; /* The following program is found on pages 47-48 of */ /* "Survival Analysis Using the SAS System." */ data; set recid; if arrest=0 then week=53; run; proc lifetest method=life plots=(s,h) graphics intervals=10 20 30 40 50 53; time week*arrest(0); run; /* The following program is found on pages 48-49 of */ /* "Survival Analysis Using the SAS System." */ data; input time status number; cards; 25 1 16 25 0 3 75 1 11 75 0 0 150 1 4 150 0 2 300 1 5 300 0 4 550 1 2 550 0 6 850 1 4 850 0 3 1150 1 1 1150 0 2 1450 1 1 1450 0 3 1700 1 0 1700 0 1 ; proc lifetest method=life intervals=50 100 200 400 700 1000 1300 1600 plots=(s,h) graphics; time time*status(0); freq number; run; /* The following program is found on page 52 of */ /* "Survival Analysis Using the SAS System." */ proc lifetest data=recid; time week*arrest(0); test fin age race wexp mar paro prio; run; /* The following program is found on page 55 of */ /* "Survival Analysis Using the SAS System." */ proc lifetest data=renal; time dur*censor(0); strata renal; test treat; run; /* The following program is found on page 58 of */ /* "Survival Analysis Using the SAS System." */ proc lifetest outsurv=a data=recid; time week*arrest(0); run; %smooth(data=a,time=week,width=8) --------- Chapter 4 --------- /* The following program is found on page 64 of */ /* "Survival Analysis Using the SAS System." */ proc lifereg data=recid; model week*arrest(0)=fin age race wexp mar paro prio / dist=lnormal; run; /* The following program is found on page 76 of */ /* "Survival Analysis Using the SAS System." */ proc lifereg data=recid; model week*arrest(0)=fin age race wexp mar paro prio /dist=gamma noshape1 shape1=.811 noscale scale=.811; run; /* The following program is found on page 78 of */ /* "Survival Analysis Using the SAS System." */ proc lifereg data=recid; class educ; model week*arrest(0)=fin age race wexp mar paro prio educ/dist=weibull covb; run; /* The following program is found on page 86 of */ /* "Survival Analysis Using the SAS System." */ model week*arrest(0)= / dist=weibull; /* The following program is found on page 88 of */ /* "Survival Analysis Using the SAS System." */ if educ = 3 then educ = 4; /* The following program is found on pages 92-93 of */ /* "Survival Analysis Using the SAS System." */ proc lifetest data=recid outsurv=a; time week*arrest(0); run; data; set a; s=survival; logit=log((l-s)/s); lnorm=probit(l-s); lweek=log(week); run; proc gplot; symbol1 value=none i=join; plot logit*lweek lnorm*lweek; run; /* The following program is found on page 95 of */ /* "Survival Analysis Using the SAS System." */ proc lifereg data=recid; model week*arrest(0)=fin age race wexp mar paro prio / dist=weibull; output out=a cdf=f; run; data b; set a; e=-log(l-f); run; proc lifetest data=b plots=(ls) notable graphics; time e*arrest(0); symbol1 v=none; run; /* The following program is found on page 98 of */ /* "Survival Analysis Using the SAS System." */ data; set recidlft; /* uncensored cases: */ if arrest=1 and week ne . then do; upper=week; lower=week; end; /* left-censored cases: */ if arrest=1 and week = . then do; upper=52; lower=.; end; /* right-censored cases: */ if arrest=0 then do; upper=.; lower=52; end; run; proc lifereg; model (lower,upper)=fin age race wexp mar paro prio / dist=weibull; run; /* The following program is found on pages 99-100 of */ /* "Survival Analysis Using the SAS System." */ data; set recid; /* interval censored cases: */ if arrest=1 then do; upper=week; lower=week-.9999; end; /* right-censored cases: */ if arrest=0 then do; upper=.; lower=52; end; proc lifereg; model (lower, upper)=fin age race wexp mar paro prio / dist=weibull; run; /* The following program is found on page 101 of */ /* "Survival Analysis Using the SAS System." */ proc lifereg data=recid; model week*arrest(0)=fin age race wexp mar paro prio / dist=weibull; output out=a p=median std=s; run; proc print data=a; var week arrest _prob_ median s; run; /* The following program is found on page 102 of */ /* "Survival Analysis Using the SAS System." */ proc lifereg data=recid outest=a; model week*arrest(0) = fin age race wexp mar paro prio / dist=weibull; output out=b xbeta=lp; run; %predict(outest=a,out=b,xbeta=lp,time=30) /* The following program is found on page 103 of */ /* "Survival Analysis Using the SAS System." */ %lifehaz(outest=a,out=b,xbeta=lp) /* The following programs are found on page 106 of */ /* "Survival Analysis Using the SAS System." */ data quarter; set recid; quarter=ceil(week/13); do j=1 to quarter; time=13; event=0; if j=quarter and arrest=1 then do; event=1; time=week-13*(quarter-1); end; output; end; run; proc lifereg data=quarter; class j; model time*event(0)=fin age race wexp mar paro prio j / dist=exponential covb; run; /* The following programs are found on page 108 of */ /* "Survival Analysis Using the SAS System." */ ltime=log(time); proc genmod data=quarter; class j; model event=fin age race wexp mar paro prio j j*fin / dist=poisson link=log offset=ltime type3; run; --------- Chapter 5 --------- /* The following program is found on page 115 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=recid; model week*arrest(0)=fin age race wexp mar paro prio; run; /* The following program is found on page 119 of */ /* "Survival Analysis Using the SAS System." */ data stan; infile 'c: stan.dat'; input dob mmddyy9. doa mmddyy9. dot mmddyy9. dls mmddyy9. dead surg m1 m2 m3; surv1=dls-doa; surv2=dls-dot; ageaccpt=(doa-dob)/365.25; agetrans=(dot-dob)/365.25; wait=dot-doa; if dot=. then trans=0; else trans=1; run; proc phreg data=stan; model surv1*dead(0)=trans surg ageaccpt; run; /* The following program is found on page 121 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=stan; where trans=1; model surv2*dead(0)=surg m1 m2 m3 agetrans wait dot; run; /* The following program is found on page 130 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=recid; model week*arrest(0)=fin age race wexp mar paro prio / ties=exact; run; /* The following program is found on page 139 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=stan; model surv1*dead(0)=plant surg ageaccpt / ties=exact; if wait>surv1 or wait=. then plant=0; else plant=1; run; /* The following program is found on page 142 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=stan; model surv1*dead(0)=plant surg age / ties=exact; if wait>surv1 or wait=. then plant=0; else plant=1; age=ageaccpt+surv1; run; /* The following program is found on page 143 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=stan; model surv1*dead(0)=plant surg logage / ties=exact; if wait>surv1 or wait=. then plant=0; else plant=1; logage=log(ageaccpt+surv1); run; /* The following programs are found on page 144 of */ /* "Survival Analysis Using the SAS System." */ data recid; infile 'c:recid.dat'; input week arrest fin age race wexp mar paro prio emp1-emp52; run; proc phreg data=recid; model week*arrest(0)=fin age race wexp mar paro prio employed / ties=efron; array emp(*) emp1-emp52; do i=1 to 52; if week=i then employed=emp(i); end; run; proc phreg data=recid; model week*arrest(0)=fin age race wexp mar paro prio employed / ties=efron; array emp(*) emp1-emp52; employed=emp(week); run; /* The following program is found on page 145 of */ /* "Survival Analysis Using the SAS System." */ proc phreg; where week>1; model week*arrest(0)=fin age race wexp mar paro prio employed / ties=efron; array emp(*) emp1-emp52; employed=emp(week-1); run; /* The following programs are found on page 146 of */ /* "Survival Analysis Using the SAS System." */ proc phreg; where week>2; model week*arrest(0)=fin age race wexp mar paro prio employ1 employ2 / ties=efron; array emp(*) emp1-emp52; employ1=emp(week-1); employ2=emp(week-2); run; data recidcum; set recid; array emp(*) emp1-emp52; array cum(*) cum1-cum52; cum1=emp1; do i=2 to 52; cum(i)=cum(i-1) + emp(i); end; do i=1 to 52;; cum(i)=cum(i)/i; end; run; proc phreg data=recidcum; where week>1; model week*arrest(0)=fin age race wexp mar paro prio employ / ties=efron; array cumemp(*) cum1-cum52; employ=cumemp(week-1); run; /* The following programs are found on page 148 of */ /* "Survival Analysis Using the SAS System." */ data blood; infile 'blood.dat'; input deathday status alb1-alb12; run; proc phreg; model deathday*status(0)=albumin; array alb(*) alb1-alb12; deathmon=ceil(deathday/30.4); albumin=alb(deathmon); run; proc phreg data=blood; model deathday*status(0)=albumin; array alb(*) alb1-alb12; deathmon=deathday/30.4; j=ceil(deathmon); if j=1 then albumin=alb(1); else albumin=alb(j)+(alb(j)-alb(j-1))*(deathmon-j+1); run; /* The following program is found on page 149 of */ /* "Survival Analysis Using the SAS System." */ data data=blood; set; array alb(*) alb1-alb12; array meanalb(*) mean1-mean12; array predalb(*) pred1-pred12; pred1=alb1; mean1=alb1; do i=2 to 12; meanalb(i)=(1/i)*alb(i)+(1-1/i)*meanalb(i-1); predalb(i)=.7*alb(i)+.3*meanalb(i-1)); end; run; proc phreg; model deathday*status(0)=albumin; array pred(*) pred1-pred12; deathmon=ceil(deathday/30.4); albumin=pred(deathmon); run; /* The following program is found on page 152 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=alco; model surv*dead(0)=pt; time1=0; array time(*) time1-time10; array p(*) pt1-pt10; do j=1 to 10; if surv ge time(j) and time(j) ne . then pt=p(j); end; run; /* The following program is found on page 153 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=stan; model surv1*dead(0)=surg ageaccpt plant m1td m2td m3td waittd dottd / ties=exact; if wait>surv1 or wait=. then plant=0; else plant=1; if plant=1 then do; m1td=m1; m2td=m2; m3td=m3; waittd=wait; dottd=dot; end; else do; m1td=0; m2td=0; m3td=0; waittd=0; dottd=0; end; run; /* The following program is found on page 156 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=recid; model week*arrest(0)=fin age race wexp mar paro prio fintime / ties=efron; fintime=fin*week; run; /* The following program is found on page 157 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=recid; model week*arrest(0)=fin age race wexp mar paro prio fintime / ties=efron; fintime=fin*(week>13); run; /* The following program is found on page 158 of */ /* "Survival Analysis Using the SAS System." */ proc phreg data=myel; model dur*stat(0)=treat / ties=exact; strata renal; run; /* The following programs are found on page 162 of */ /* "Survival Analysis Using the SAS System." */ data stan2; set stan; agels=(dls-dob)/365.25; run; proc phreg data=stan2; model (ageaccpt,agels)*dead(0)=surg ageaccpt / ties=exact; run; /* The following programs are found on page 163 of */ /* "Survival Analysis Using the SAS System." */ ageaccpt=ageaccpt-.0027; proc phreg data=stan2; model agels*dead(0)=surgtd ageaccpt / ties=exact; if agels 1 then call symput('nset','yes'); else if final then call symput('nset','no'); if _censor_ = 1 then delete; if survival in (0,1) then delete; run; proc iml; use _inset_; read all var {t _grp_}; %if &width ne %then %let w2=&width; %else %let w2=(max(t)-min(t))/5; w=&w2; z=char(w,8,2); call symput('width',z); numset=max(_grp_); create _plt_ var{ lambda s group}; setin _inset_ ; do m=1 to numset; read all var {t survival _grp_} where (_grp_=m); n=nrow(survival); lo=t[1] + w; hi=t[n] - w; npt=50; inc=(hi-lo)/npt; s=lo+(1:npt)`*inc; group=j(npt,1,m); slag=1//survival[1:n-1]; h=1-survival/slag; x = (j(npt,1,1)*t` - s*j(1,n,1))/w; k=.75*(1-x#x)#(abs(x)<=1); lambda=k*h/w; append; end; quit; %if &nset = yes %then %let c==group; %else %let c=; proc gplot data=_plt_; plot lambda*s &c / vaxis=axis1 vzero haxis=axis2; axis1 label=(angle=90 f=titalic 'Hazard Function' ) minor=none ; axis2 label=(f=titalic "Time (bandwidth=&width)") minor=none; symbol1 i=join color=black line=1; symbol2 i=join color=red line=2; symbol3 i=join color=green line=3; symbol4 i=join color=blue line=4; run; quit; %mend smooth; ------------- LIFEHAZ Macro ------------- %macro lifehaz(outest=,out=,obsno=0,xbeta=lp); /******************************************************************** Macro LIFEHAZ plots the hazard function for a model fitted by PROC LIFEREG. In the LIFEREG procedure, you must specify OUTEST=name1 in the PROC statement. You must also use the OUTPUT statement with OUT=name2 and XBETA=name3. By default, the hazard is plotted for the mean value of XBETA (the linear predictor). If you want a plot for a specific observation, you must specify the observation number (OBSNO) when you invoke the macro. The macro is invoked as follows: %lifehaz(outest=name1,out=name2,xbeta=name3,obsno=1); Author: Paul D. Allison, U. of Pennsylvania, allison@ssc.upenn.edu. ********************************************************************/ data; set &outest; call symput('time',_NAME_); run; proc means data=&out noprint; var &time &xbeta; output out=_c_ min(&time)=min max(&time)=max mean(&xbeta)=mean; run; data; set &outest; call symput('model',_dist_); s=_scale_; d=_shape1_; _y_=&obsno; set _c_ (keep=min max mean); if _y_=0 then m=mean; else do; set &out (keep=&xbeta) point=_y_; m=&xbeta; end; inc=(max-min)/300; g=1/s; alph=exp(-m*g); if _dist_='LNORMAL' then do; do t=min to max by inc; z=(log(t)-m)/s; f=exp(-z*z/2)/(t*s*sqrt(2*3.14159)); Surv=1-probnorm(z); h=f/Surv; output; end; end; else if _dist_='GAMMA' then do; k=1/(d*d); do t=min to max by inc; u=(t*exp(-m))**(1/s); f=abs(d)*(k*u**d)**k*exp(-k*u**d)/(s*gamma(k)*t); Surv=1-probgam(k*u**d,k); if d lt 0 then Surv=1-Surv; h=f/Surv; output; end; end; else if _dist_='WEIBULL' or _dist_='EXPONENT' then do; do t=min to max by inc; h=g*alph*t**(g-1); output; end; end; else if _dist_='LLOGISTC' then do; do t=min to max by inc; h=g*alph*t**(g-1)/(1+alph*t**g); output; end; end; else put 'ERROR:DISTRIBUTION NOT FITTED BY LIFEREG'; run; proc gplot; plot h*t / haxis=axis2 vaxis=axis1 vzero; symbol1 i=join v=none c=black; axis1 label=(f=titalic angle=90 'Hazard'); axis2 label=(f=titalic justify=c 'time' f=titalic justify=c "&model"); run; quit; %mend lifehaz; ------------- PREDICT Macro ------------- %macro predict (outest=, out=_last_,xbeta=,time=); /******************************************************************** MACRO PREDICT produces predicted survival probabilities for specified survival times, based on models fitted by PROC LIFEREG. When fitting the model with PROC LIFEREG, you must request the OUTEST data set in the PROC statement. You must also request an OUTPUT data set with the XBETA= keyword. PREDICT has four parameters: OUTEST is the name of the data set produced with the OUTEST option. OUT is the name of the data set produced by the OUTPUT statement. The default is the last created data set. XBETA is the name of the variable specified with the XBETA= keyword. TIME is the specified survival time that is to be evaluated. Example of usage: To get 5-year survival probabilities for every individual in the sample (assuming that actual survival times are measured in years); %predict(outest=a, out=b, xbeta=lp, time=5). Author: Paul D. Allison, Univ. of Pennsylvania allison@ssc.upenn.edu *********************************************************************/ data _pred_; _p_=1; set &outest (keep=_dist_ _scale_ _shape1_ ) point=_p_; set &out; lp=&xbeta; t=&time; gamma=1/_scale_; alpha=exp(-lp*gamma); prob=0; if _dist_='EXPONENT' or _dist_='WEIBULL' then prob=exp(-alpha*t**gamma); if _dist_='LNORMAL' then prob=1-probnorm((log(t)-lp)/_scale_); if _dist_='LLOGISTC' then prob=1/(1+alpha*t**gamma); if _dist_='GAMMA' then do; d=_shape1_; k=1/(d*d); u=(t*exp(-lp))**gamma; prob=1-probgam(k*u**d,k); if d lt 0 then prob=1-prob; end; drop lp gamma alpha _dist_ _scale_ _shape1_ d k u; run; proc print data=_pred_; run; %mend predict; --------- WLW Macro --------- %macro wlw(dv=,cv=,evcnt=,id=id,max=,data=_last_,ties=efron); /*********************************************************************** MACRO WLW uses the method of Wei, Lin, and Weissfeld (Journal of the American Statistical Association, 1989) to produce tests and partial likelihood estimates for multivariate survival data, e.g., repeated events. The macro has the following parameters: DV is the two-part dependent variable, specified in the usual way for PROC PHREG. CV is a list of covariates (the maximum number is 20). EVCNT is the name of a variable that contains the number of the event in the individual's sequence. ID is the name of a variable containing a unique ID for each individual (either character or numeric). MAX is the maximum number of events among all individuals. If you don't wish to analyze the higher order events (because of small subsample sizes), just enter a smaller number for MAX. DATA is the name of data set to be analyzed. The default is the last created data set. TIES is the method for handling ties (BRESLOW, EFRON, EXACT or DISCRETE). The default is EFRON. Example of usage: %wlw(dv=duration*censor(0), cv=nit hemo age sex, evcnt=number, id=idnum, data=_last_, ties=exact) Author: Paul D. Allison, University of Pennsylvania allison@ssc.upenn.edu Adapted from IML program written by Ying So, SAS Institute. *************************************************************************/ /*Preliminary operations on parameter specifications*/ %do i = 1 %to 20; %let var&i=%scan(&cv,&i); %if &&var&i = %then %goto out; %if %length(&&var&i) > 6 %then %let vv&i=%substr(&&var&i,1,6); %else %let vv&i=&&var&i; %end; %out: %let i=%eval(&i-1); %let tot=%eval(&i*&max); %do j=1 %to &i; %let vdef&j=arr&j(_i_) = &&var&j*(evcnt=_i_); %let cvd&j= &&vv&j..1-&&vv&j..&max; %let ar&j=array arr&j(*) &&vv&j..1-&&vv&j..&max; %end; /*Create data set with covariate by time interactions*/ data expand; ncv=&i; set &data; evcnt=&evcnt; %do j=1 %to &i; &&ar&j; %end; do _i_ = 1 to &max; %do j=1 %to &i; &&vdef&j; %end; end; run; /*Do PHREG model for all events*/ proc phreg data=expand outest=_a_ noprint; model &dv= %do j=1 %to &i; &&cvd&j %end; /ties=&ties; output out=_out1_ dfbeta=dt1-dt&tot/order=data; id &id; strata &evcnt; run; /*Sum the DFBETA statistics*/ proc sort data=_out1_; by &id; run; proc means data=_out1_ noprint; by &id; var dt1-dt&tot; output out=_out2_(drop=&id _type_ _freq_) sum=dt1-dt&tot; /*Calculate the robust covariance matrix, perform tests*/ proc iml; names={&cv}; nvar=ncol(names); use _a_; read all var _num_ into b; b= b`; use _out2_; read all into x; do i=1 to nvar; stop=i*&max; start=stop-&max+1; bi= b[start:stop]; xi=x[,start:stop]; v= xi` * xi; iv=inv(v); se=sqrt(vecdiag(v)); reset noname; cname= {"Estimate", " Std Error"}; cname2={"Event"}; indx= (1:&max)`; tmpprt= bi || se; print / "Results For" (names[i]); print indx[colname=cname2] tmpprt[colname=cname format=10.5]; print "Estimated Joint Covariance Matrix",, v; /* H0: All coefficients equal to 0 */ chisq= bi` * iv * bi; df= nrow(bi); p= 1-probchi(chisq,df); print ,,"Testing H0: no treatment effects for" (names[i]), , "Wald Chi-Square = " chisq, "DF = " df, "p-value = "p[format=5.4],; /* H0: All coefficients equal to each other */ c=j(df-1,df,0); do k=1 to df-1; c[k,k]=1; c[k,k+1]=-1; end; chisq= bi`*c`*inv(c*v*c`)*c * bi; df= df-1; p= 1-probchi(chisq,df); print ,,"Testing H0:Equal Coefficients for" (names[i]), , "Wald Chi-Square = " chisq, "DF = " df, "p-value = "p[format=5.4],; /* Assume coefficients equal. Estimate the common value */ nparm=nrow(bi); e= j(nparm,1,1); h= inv(e` * iv * e) * iv * e; b1= h` * bi; se= sqrt(h` * v * h); zscore= b1 / se; p= 1- probchi( zscore * zscore, 1); print ,,"Estimation of the Common Parameter for" (names[i]),, "optimal weights = "h, "Estimate = " b1, "Standard Error = " se, "z-score =" zscore, "2-sided p-value = " p[format=5.4]; end; quit; run; %mend wlw;