I've been using SAS proc mixed to analyze AB/AB
cross-over designs (both mixed and fixed effects
models). Out of curiosity, I compared results with
Stata's pkcross--using the Chow & Liu data (used in
the Reference manual example).
I'm getting very different results in SAS vs Stata,
eg, SAS is finding a significant treatment effect
while Stata isn't. What could be accounting for the
differences?
Thanks,
SR Millis
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