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st: ttest or xtmelogit?
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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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