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

Jonathan Baron baron at psych.upenn.edu
Wed Mar 4 22:46:01 CET 2015

I believe that this is old (although probably still useful). A more
recent account is here:


which comes with the lme4 package.


On 03/04/15 13:23, Tim Meehan wrote:
>Some solutions and their drawbacks are discussed here:
>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
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Jonathan Baron, Professor of Psychology, University of Pennsylvania
Home page: http://www.sas.upenn.edu/~baron
Editor: Judgment and Decision Making (http://journal.sjdm.org)

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