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

[Megan Kutzer]

Thanks everyone. I'll try to explain that to my supervisor.
On 4 Mar 2015 23:56, "Ken Beath" <ken.beath at mq.edu.au> wrote:

> That is what I though you meant. In that case you can't discuss main
> effects at all, as the effect of diet, for example, is different for each
> combination of infection status and day. SAS and some other software will
> attempt to give results but they aren't usually sensible.
>
> On 5 March 2015 at 09:44, Megan Kutzer <makutzer at gmail.com> wrote:
>
>> 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*
>>> Lecturer
>>> Statistics Department
>>> MACQUARIE UNIVERSITY NSW 2109, Australia
>>>
>>> Phone: +61 (0)2 9850 8516
>>>
>>> Building E4A, room 526
>>> http://stat.mq.edu.au/our_staff/staff_-_alphabetical/staff/beath,_ken/
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>
>
> --
>
> *Ken Beath*
> Lecturer
> Statistics Department
> MACQUARIE UNIVERSITY NSW 2109, Australia
>
> Phone: +61 (0)2 9850 8516
>
> Building E4A, room 526
> http://stat.mq.edu.au/our_staff/staff_-_alphabetical/staff/beath,_ken/
>
> CRICOS Provider No 00002J
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