Categorical Data Analysis: Chapter 2
options nodate nonumber ps=200 ls=80 formdlim=' ';
data respire;
input treat $ outcome $ count;
datalines;
placebo f 16
placebo u 48
test f 40
test u 20
;
proc freq;
weight count;
tables treat*outcome / chisq;
run;
data severe;
input treat $ outcome $ count;
datalines;
Test f 10
Test u 2
Control f 2
Control u 4
;
proc freq order=data;
weight count;
tables treat*outcome / chisq nocol;
run;
proc freq order=data;
weight count;
tables treat*outcome / chisq nocol;
exact chisq;
run;
ods select RiskDiffCol1 Measures;
data respire2;
input treat $ outcome $ count @@;
datalines;
test f 40 test u 20
placebo f 16 placebo u 48
;
proc freq order=data;
weight count;
tables treat*outcome / riskdiff measures;
run;
data stress;
input stress $ outcome $ count;
datalines;
low f 48
low u 12
high f 96
high u 94
;
proc freq order=data;
weight count;
tables stress*outcome / chisq measures nocol nopct;
run;
data respire;
input treat $ outcome $ count;
datalines;
test yes 29
test no 16
placebo yes 14
placebo no 31
;
proc freq order=data;
weight count;
tables treat*outcome / all nocol nopct;
run;
data severe;
input treat $ outcome $ count;
datalines;
Test f 10
Test u 2
Control f 2
Control u 4
;
proc freq order=data;
weight count;
tables treat*outcome / nocol;
exact or;
run;
data approval;
input hus_resp $ wif_resp $ count;
datalines;
yes yes 20
yes no 5
no yes 10
no no 10
;
ods select McNemarsTest;
proc freq order=data;
weight count;
tables hus_resp*wif_resp / agree;
run;
Statistics and Operations Research
