Jay Verkuilen wrote:
Wasn't suggesting it for the mixed model, just that in a classic
clustering scenario like is here, using clustered resampling or
jackknifing is an alternative to the parametric assumptions on summary
measures. In a small sample mixed model case, I suspect that going to a
fully Bayesian model is the only way to go. Even then things may not
work so well.
I look forward to hearing the answer you and David come up with.
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Sorry, Jay, about my misreading. Resampling certainly is an alternative.
It would be interesting to see how the bootstrap compares in a study like
David's under those potential outcomes in which summary measures would not
be expected to fare so well, e.g., binomial expectations in the neighborhood
of 0 of 50 or 50 of 50.
I share your suspicions about mixed models in small samples, Messrs. Kenward
and Roger notwithstanding.
Joseph Coveney
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