I have data that was collected from medical residents(same group-binary outcome with categorical predictors) with pre and post test on same group with a sample size of 21, for this type of study designs I normally do repeated measures for binary outcomes using Proc Genmod or Proc Glimmix, I am thinking of doing this by treating both as a independent groups and consider pre test group as a comparision group and just do a logistic regression and report based on odds ratio since my outcome is binary, any thoughts and suggestions on this?
As long as you adjust the standard errors for clustering, I think you will be fine. I don't know SAS, but Stata has several approaches, such as clustering on within-subject ID with robust standard errors; and GEE with robust standard errors, among others.
Kris, I think you should be fine doing what you are proposing. In essence, it is similar to repeated measures only analyzed differently.
Hello Kris,
Have you published the results of this study? are the data available? I'm looking for this kind of data for a certain methodology that I am proposing.
Thanks.
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