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st: ttest or xtmelogit?
.
I have a typical pilot data set. Small. I have 12 mice, 6 from one  
group, 6 from another. For each mouse I have about 50 yes/no scores.  
50 was enough to get precision on a given mouse. I'm interested in the  
group difference. In the past I used xtgee with mouse as the i(mouse)  
option, i.e., mouse as the cluster, with family(binomial) and  
link(logit). But previously, I did this with double the number of  
mice, so I felt I had enough clusters. Here, I am feeling  
uncomfortable about the number of clusters (12). The same goes for  
xtmelogit, new in Stata 10. Given the number of mice, is it better to  
simply transform the summary statistics for animals (mean of the yes/ 
no vector by animal), like with an arcsine or logit, and use a ttest?
-Dave
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