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

[Megan Kutzer]

No, sorry, the model is Diet + infection status + day and all the two way
interactions and the 3 way interaction.
On 4 Mar 2015 23:34, "Ken Beath" <ken.beath at mq.edu.au> wrote:

> Did yo mean to have interactions between all 3 as "Diet * Infection
> status * Day". With interactions it isn't possible to test for the effect
> of main effects.
>
> On 5 March 2015 at 07:11, 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
>>
>
>
>
> --
>
> *Ken Beath*
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> Statistics Department
> MACQUARIE UNIVERSITY NSW 2109, Australia
>
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>
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