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List: r-sig-mixed-models
Subject: Re: [R-sig-ME] nested random effects in lmer
From: Phillip Alday <me () phillipalday ! com>
Date: 2022-04-11 3:18:18
Message-ID: 0b392dc0-d87b-2fbe-62b8-a2e9bd92a6e2 () phillipalday ! com
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I'm not familiar with JMP, but I suspect that both treatment and sex
should be fixed effects. If each mouse receives only a single treatment,
then you would have:
1 + treatment * sex + (1|mouse)
if there is treatment by sex interaction
or
1 + treatment + sex + (1|mouse)
if there is no treatment by sex interaction.
If each mouse received multiple treatments, then you may want to
consider (1 + treatment|mouse) instead of (1|mouse) in order to allow
for the treatment effect size to vary between mice.
The GLMM FAQ has a small section on this:
https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#should-i-treat-factor-xxx-as-fixed-or-random
Hope that helps a bit,
Phillip
On 8/4/22 7:40 am, Amanda Barabas wrote:
> Hello R members,
>
> I have a situation involving nested data for which I couldn't find a clear
> answer and am hoping someone can help.
>
>
>
> I do work using laboratory mice. A common study design involves repeated
> measures of single animals receiving the same treatment over time. For
> these designs, it's recommended to use a nested design since each animal
> typically only experiences one treatment level. It looks like I could code
> this by adding these terms to a lmer model:
>
>
>
> (1|Mouse) + (1|Treatment:Mouse)
>
>
>
> However, we also like to account for sex in the models. A single mouse can
> only have one sex, so I would similarly code this nested effect with:
>
>
>
> (1|Mouse) + (1|Sex:Mouse)
>
>
>
> If I have a single model where Mouse is nested in both Treatment and Sex,
> do I need an additional term to reflect this? Would this code be correct?:
>
>
>
> (1|Mouse) + (1|Treatment:Mouse) + (1|Sex:Mouse)
>
>
>
> For comparison, I've previously used JMP for nested models. In JMP, Mouse
> nested in both Treatment and Sex would look like this: Mouse(Treatment,
> Sex). I'm not sure if the above line of code would be the R equivalent or
> if I need to add a term that includes both Treatment and Sex in the same
> set of parentheses. My searches weren't very helpful for this situation.
> I'd greatly appreciate any resources anyone may have about this type of
> design.
>
> Thanks,
>
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