FOCUS AREAS

Categorical Data Analysis: Chapter 3

    

   options nodate nonumber ps=200 ls=80 formdlim=' ';

   data respire;
      input center treatment $ response $ count @@;
      datalines;
   1 test    y 29 1 test    n 16
   1 placebo y 14 1 placebo n 31
   2 test    y 37 2 test    n  8
   2 placebo y 24 2 placebo n 21
   ;

   proc freq order=data;
      weight count; 
      tables center*treatment*response / 
          nocol nopct chisq cmh;
   run; 

   data stress;
      input region $ stress $ outcome $ count @@;
      datalines;
   urban low  f 48 urban  low  u  12 
   urban high f 96 urban  high u  94  
   rural low  f 55 rural  low  u 135
   rural high f  7 rural  high u  53
   ; 
   proc freq order=data; 
      weight count;
      tables region*stress*outcome / chisq cmh nocol nopct;
   run;

   data soft;
      input gender $ country $ question $ count @@;
      datalines;
   male   American  y 29 male   American  n  6
   male   British   y 19 male   British   n 15
   female American  y  7 female American  n 23
   female British   y 24 female British   n 29
   ;
   proc freq order=data;
      weight count; 
      tables gender*country*question / 
           chisq cmh nocol nopct;
   run; 

   data ca;
      input gender $ ECG $ disease $ count; 
      datalines; 
   female <0.1  yes   4 
   female <0.1  no   11 
   female >=0.1 yes   8    
   female >=0.1 no   10 
   male   <0.1  yes   9 
   male   <0.1  no    9 
   male   >=0.1 yes  21 
   male   >=0.1 no    6 
   ;
   proc freq; 
      weight count; 
      tables gender*disease / nocol nopct chisq; 
      tables gender*ECG*disease / nocol nopct cmh chisq measures;  
   run;


Statistics and Operations Research