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Documentation Example 15 for PROC PHREG

/****************************************************************/
/*          S A S   S A M P L E   L I B R A R Y                 */
/*                                                              */
/*    NAME: PHREX15                                             */
/*   TITLE: Documentation Example 15 for PROC PHREG             */
/* PRODUCT: STAT                                                */
/*  SYSTEM: ALL                                                 */
/*    KEYS: Fine and Gray model, competing risks, ODS Graphics  */
/*   PROCS: PHREG                                               */
/*    DATA: Klein and Moeschberger (1997), Survival Analysis:   */
/*          Techniques for Censored and Truncated Data          */
/* SUPPORT: sasycs                                              */
/*     REF: 9.2 SAS/STAT User's Guide, PROC PHREG Chapter       */
/*    MISC:                                                     */
/****************************************************************/

proc format;
   value DiseaseGroup 1='ALL'
                      2='AML-Low Risk'
                      3='AML-High Risk';

data Bmt;
   input Disease T Status @@;
   label T='Disease-Free Survival in Days';
   format Disease DiseaseGroup.;
   datalines;
1   2081   0   1   1602   0   1   1496   0   1   1462   0   1   1433   0
1   1377   0   1   1330   0   1    996   0   1    226   0   1   1199   0
1   1111   0   1    530   0   1   1182   0   1   1167   0   1    418   2
1    383   1   1    276   2   1    104   1   1    609   1   1    172   2
1    487   2   1    662   1   1    194   2   1    230   1   1    526   2
1    122   2   1    129   1   1     74   1   1    122   1   1     86   2
1    466   2   1    192   1   1    109   1   1     55   1   1      1   2
1    107   2   1    110   1   1    332   2   2   2569   0   2   2506   0
2   2409   0   2   2218   0   2   1857   0   2   1829   0   2   1562   0
2   1470   0   2   1363   0   2   1030   0   2    860   0   2   1258   0
2   2246   0   2   1870   0   2   1799   0   2   1709   0   2   1674   0
2   1568   0   2   1527   0   2   1324   0   2    957   0   2    932   0
2    847   0   2    848   0   2   1850   0   2   1843   0   2   1535   0
2   1447   0   2   1384   0   2    414   2   2   2204   2   2   1063   2
2    481   2   2    105   2   2    641   2   2    390   2   2    288   2
2    421   1   2     79   2   2    748   1   2    486   1   2     48   2
2    272   1   2   1074   2   2    381   1   2     10   2   2     53   2
2     80   2   2     35   2   2    248   1   2    704   2   2    211   1
2    219   1   2    606   1   3   2640   0   3   2430   0   3   2252   0
3   2140   0   3   2133   0   3   1238   0   3   1631   0   3   2024   0
3   1345   0   3   1136   0   3    845   0   3    422   1   3    162   2
3     84   1   3    100   1   3      2   2   3     47   1   3    242   1
3    456   1   3    268   1   3    318   2   3     32   1   3    467   1
3     47   1   3    390   1   3    183   2   3    105   2   3    115   1
3    164   2   3     93   1   3    120   1   3     80   2   3    677   2
3     64   1   3    168   2   3     74   2   3     16   2   3    157   1
3    625   1   3     48   1   3    273   1   3     63   2   3     76   1
3    113   1   3    363   2
;

data Risk;
   Disease=1; output;
   Disease=2; output;
   Disease=3; output;
   format Disease DiseaseGroup.;
   run;

ods graphics on;
proc phreg data=Bmt plots(overlay=stratum)=cif;
   class Disease (order=internal ref=first);
   model T*Status(0)=Disease / eventcode=1;
   Hazardratio 'Pairwise' Disease / diff=pairwise;
   baseline covariates=Risk out=out1 cif=_all_ / seed=191;
run;


proc print data=Out1(where=(Disease=1));
   title 'CIF Estimates and 95% Confidence limits for the ALL Group';
run;