Hi all,
I have 2 set of question
1) odds ratio using relrisk?
have data:
trt res COUNT
Trt1 1 54
Trt1 2 12
Trt2 1 120
Trt 2 103
i need Odds ratio trt1 over trt2 ? how can i acheive that?
2) i am using Clopper-Pearson method(freq binomial)
i got ouput 95CI%
trt1 trt2
(19.7, 41.5) (27.9, 40.8)
i got query back to me "trt2 group is beyond it point estimate ?, CI look not correct
what does that mean
Thanks
Sam
Can you post the code you used? And did you get an error?
For odds ratio can use proc logistic.
hi Reeza,
the follwoign code is using to get odds ratio and Clopper-Pearson method for CI for response
i can use logistic, but dont know how to
For odds ratio:
ods output RelativeRisks=rr(where=(StudyType eq 'Case-Control (Odds Ratio)'));
proc freq data=have;
weight count;
tables trt*res/chisq relrisk;
run;
Clopper-Pearson method:
proc freq data=ci noprint;
tables grp/ binomial alpha = 0.05;
by trt ;
output binomial out=_ci;
run;
data final_ci
retain ci;
set _ci;
by trt;
lcl = round(100 * (1 - xu_bin),.1);
ucl = round(100 * (1 - xl_bin),.1);
ci = ' ('||put(lcl,4.1)||', '||put(ucl,4.1)||')';
run;
Thanks
Sam
The following computes the odd ratio and relative risk estimates:
data a; input
trt $ res COUNT; datalines;
Trt1 1 54
Trt1 2 12
Trt2 1 120
Trt2 2 103
;
proc freq;
weight count;
table trt*res/relrisk;
run;
The odds ratio estimate is 3.8625 = (54/12) / (120/103).
It can also be produced using PROC LOGISTIC:
proc logistic;
freq count;
class trt;
model res(event="1")=trt;
run;
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