[R-sig-ME] binomial fixed-effect p-values by simulation
Daniel Ezra Johnson
danielezrajohnson at gmail.com
Sun Aug 24 11:56:47 CEST 2008
We read, e.g. in Pinheiro and Bates, that one situation where
fixed-effect LRTs are anti-conservative is when the number of fixed
effect parameters being tested is large with respect to the number of
groups.
In the tests I'm doing, there's only a single binary fixed effect
factor being tested - a between-subjects factor like gender, as noted
earlier.
I'm finding evidence for pretty serious anti-conservatism here too
(e.g. LRT chi-square p=0.0001 vs. LRT simulation p=0.016), and I'm
working on some reproducible code to demonstrate this.
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