Having briefly fallen for the notion that the negative.binomial family
in MASS could be used in glmer, I want to use these lists for a sanity
check on my final (?) plans.
I want to use glmer for logistic regression and for poisson regression
on a data set of 10,000 items. There will be two crossed random
effects.
For the logistic regression, I want odds ratios with confidence
intervals.For the poisson regression, I'd want multiplying factors,
again with confidence intervals. Either way, my co-authors will want
p-values. I'd also like to examine whether the two random effects
have comparable variation, and whether any of them are provide odds
ratios or multipliers that are are statistically distinct from 1.0 .
Can I use the s.e's and p-values (from z-statistics) provided by
glmer? Or should I use the pvals.fnc function from the language R
package?
Are there any holes in my plans I'm not seeing?
Thanks in advance.
