[R-sig-ME] extracting p values for main effects of binomial glmm

[Tim Meehan]

Some solutions and their drawbacks are discussed here:

http://stats.stackexchange.com/questions/22988/significant-effect-in-lme4-mixed-model

On Wed, Mar 4, 2015 at 1:11 PM, Megan Kutzer <makutzer at gmail.com> wrote:

> Hi,
>
> I'm fairly new to mixed models and have done a lot of reading without much
> success. Unfortunately there is no one at my institution who is really
> familiar with them so I thought I would try this list.
>
> I'm running a binomial generalized linear mixed effects model and I need
> p-values for the main effects. I know this isn't entirely correct with this
> type of model but my supervisor wants the p-values!
>
> The model is:
>
> glmer (Proportion hatched ~ Diet * Infection status * Day + (1|SubjectID) +
> (1|Day), family=binomial)
>
> where,
>
> Proportion hatched = cbind(Offspring, Eggs-Offspring)
> Diet is a factor with 2 levels
> Infection status is a factor with 4 levels
> Day is a factor with 3 levels
>
> Using Subject ID number and Day as random effects is supposed to control
> for pseudoreplication in the model, although I am not entirely sure that
> this is specified in the correct way. I wanted to include experimental
> replicate here too but the model failed to converge.
>
> My question is: is there a way to get p-values for the main fixed effects
> of Diet, Infection and Day?
>
> If you need more specific model information or the model output I would be
> happy to provide it.
>
> Thanks,
> Megan
>
>         [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>

	[[alternative HTML version deleted]]