Additional Examples for PROC MULTTEST

 /****************************************************************/
 /*          S A S   S A M P L E   L I B R A R Y                 */
 /*                                                              */
 /*    NAME: MULTTEEX                                            */
 /*   TITLE: Additional Examples for PROC MULTTEST               */
 /* PRODUCT: STAT                                                */
 /*  SYSTEM: ALL                                                 */
 /*    KEYS: MULTIPLE TEST,                                      */
 /*   PROCS: MULTTEST,                                           */
 /*    DATA:                                                     */
 /*                                                              */
 /* SUPPORT: Russ Wolfinger & Ming Chang                         */
 /*     REF:                                                     */
 /*    MISC:                                                     */
 /*                                                              */
 /****************************************************************/

data a;
   input group$ s1-s10;
   datalines;
0MG  0   0   1   0   0   1   0   0   0   0
0MG  0   0   0   0   0   0   0   0   0   1
0MG  0   0   0   0   0   0   0   0   1   0
0MG  0   0   0   0   0   0   0   0   0   0
0MG  0   1   0   0   0   0   0   0   0   0
1MG  1   0   0   1   0   1   0   0   1   0
1MG  0   0   0   1   1   0   0   1   0   1
1MG  0   1   0   0   0   0   1   0   0   0
1MG  0   0   1   0   0   0   0   0   0   1
1MG  1   0   1   0   0   0   0   1   0   0
2MG  0   1   1   1   0   1   1   1   0   1
2MG  1   1   1   1   1   1   0   1   1   0
2MG  1   0   0   1   0   1   1   0   1   0
2MG  0   1   1   1   1   0   1   1   1   1
2MG  1   0   1   0   1   1   1   0   0   1
;

proc multtest bootstrap nsample=1000 seed=41287
      order=data notables pvals;
   class group;
   test ca(s1-s10);
   contrast 'Trend' 0 1 2;
run;


data b;
   input s1-s38 t g $;
   if t<=52 then int=1;
   else if t<=78 then int=2;
   else if t<104 then int=3;
   else int=4;
   datalines;
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  1
0  0  1  0  0  0  0  0  0  0  0  0  0  1  97   C
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  0  0  1  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  97   C
0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  1  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  1  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  1  1  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  1  0  0  1  97   C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  1  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
0  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  1  0  0  1  0  0  0  0  0  0  0  0  102  C
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  1  0  0  0  0  0  0  0  0  0  0  0  102  C
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  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  0  0  0  0  71   C
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  0  0  0  0  0  0  0  0  0  0  1  104  C
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  0  0  1  0  0  0  0  0  0  0  0  104  C
0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
0  0  1  0  0  0  0  0  0  1  0  0  0  0  91   C
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  1  0  0  0  1  0  0  0  0  0  0  0  97   C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  1  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0
0  0  1  0  0  0  0  0  0  0  0  0  0  1  92   C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  84   C
0  0  1  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  0  0  0  0  1  0  1  0  0  0  96   C
0  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  1  0  0  0  0  0  0  0  0  0  0  1  104  C
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  0  0  0  0  0  0  0  0  0  0  1  97   C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  0  0  0  1  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  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  0  0  0  0  0  0  0  1  103  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  1  0  0  0  0  0  0  0  0  104  C
0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  0  0  0  1  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  1  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  0  0  0  1  103  C
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  0  0  1  0  0  0  0  0  0  0  0  104  C
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  0  0  0  0  0  0  0  0  0  0  1  69   C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  1  88   C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  1  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  97   C
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  0  0  0  0  0  0  0  0  0  0  0  97   C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  C
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
1  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  1  1  0
0  1  1  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  1  0  0  0  0  0  0  0  0  104  L
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  1  103  L
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  0  0  0  0  0  0  0  0  0  0  0  67   L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  1  0
0  0  1  0  0  0  1  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
1  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
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  78   L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  1  92   L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0  1
0  0  1  0  0  0  0  0  0  0  0  0  0  1  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  1  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  1  95   L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  1  0  0  0  0  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  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0
0  0  1  0  0  1  0  0  0  0  0  0  0  0  104  L
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  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  1  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  L
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  0  0  0  0  0  0  0  0  0  0  0  104  L
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0  0  1  0  0  0  0  0  0  0  0  0  0  0  75   L
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0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  H
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  0  0  0  0  0  0  0  0  0  0  1  104  H
0  0  0  0  0  1  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  1  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  H
0  0  0  0  0  1  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0
0  0  1  0  0  0  0  0  0  0  0  0  0  0  104  H
0  0  0  0  0  1  0  0  0  0  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  0  0  0  104  H
;

proc multtest data=b notables pvals out=p stepperm
      n=50 seed=10911;
   test ca(s1-s38 / permutation=10 uppertailed);
   class g;
   strata int;
run;

proc print data=p;
   format _numeric_ 8.4;
run;