I wanted to compute clopper Pearson confidence interval for the all the variables I have and wanted to know what's the simplest way. A sample variable I have can be
ID | test |
1 | Y |
2 | Y |
3 | N |
4 | . |
5 | . |
6 | N |
7 | N |
so among the 7 subjects, 2 were missing, 3 had no test, 2 had tested. I want to model the probability of being tested in SAS
It's an option in PROC FREQ. *See The FREQ Procedure and Example 47.4 Binomial Proportions
Here's a usage with your data:
data have;
input ID @3 test $1.;
datalines;
1 Y
2 Y
3 N
4
5
6 N
7 N
run;
proc freq data=have;
tables test / binomial (clopperpearson) ;
run;
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