All Questions
Tagged with multilevel-analysis glmm
12 questions with no upvoted or accepted answers
9
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2k
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When and why do I have to use "trait" for multinomial multilevel models with MCMCglmm in R?
I want to estimate a multilevel multinomial logit model but I am struggling with the terminology and notation used by the R-package MCMCglmm. There is documentation ...
5
votes
0
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250
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Calculating ICC for a beta-binomial GLMM
I understand that ICC in binomial GLMMs with a logit link can be calculated via R, where the residual deviance is (pi ^ 2) / 3. However, this is assuming that the ...
- 51
3
votes
0
answers
893
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Assumptions of Linear Mixed Model
I had data with repeated measurement and nested design. Conventional ANOVA requires strict control on homogeneity of variance and repeated measurement ANOVA requires assumption of sphericity. Multi-...
- 95
2
votes
0
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33
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How to fit a GLMM with multiple levels of nesting
I have some data I am struggling to process at the moment. I have landed on using generalized linear mixed models (GLMMs), but I am having a very hard time wrapping my head around it.
I have a large ...
- 21
2
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0
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350
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GLMM model formulation with a partial "subcondition"
I am modeling reaction times in a GLMM using the lme4 package. My data have the following structure:
Subject ID
Reaction times (RT)
Distractor type (Type): (3 levels): moving - static - no distractor
...
- 61
2
votes
0
answers
2k
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How to calculate CI for Median Odds Ratio?
According to Austin et al (2016) the median odds ratio (MOR) is defined by
$\exp(\sqrt{2\sigma^2} \times \Phi^{-1}(0.75))$
, where $\Phi^{-1}$ denotes the inverse of the standard normal cumulative ...
1
vote
0
answers
63
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GLMM mixed models. Binary data with only one positive outcome possible
I am studying letality in cardio-vascular events. My outcome is binary (death at 1 month) for each event. My patients can have multiple cardiovascular events but obvioulsy only one of them can lead to ...
1
vote
0
answers
47
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Leave random effects out when correlated with fixed effects?
Is it appropriate (or not) to leave a random intercept out of a model if the random intercept acts as a proxy for multiple fixed effects that are being included in the model?
I have been given data on ...
- 929
0
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30
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Is it appropriate to calculate odds ratios from random effects glmm output?
Is it appropriate to calculate odds ratios from random effects glmm output?
about the data:
grown (binary): whether flower grows over a certain height (TRUE/FALSE)...
dasyer5
0
votes
0
answers
49
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Interpreting results from a glmm (lmer) with multilevel and interaction fixed variables
I am running my GLMMs on R to test whether the effect of breed on the acoustic parameters of meows is dependent on sex levels (sex*breed) and to test whether the ...
- 1
0
votes
1
answer
26
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Inference for overall population parameters with multilevel models
I have a dataset that it is clearly need a multilevel model approach -observations from different regions-. However, I am not interesting in population parameters of regions, but overall parameters ...
- 125
0
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1
answer
254
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Can I use Gls() or glmer() to predict binary outcomes with restricted cubic splines predictors?
I'm new to rms, as I read the rms book and notes, I saw that the Gls() function could be used to make a longitudinal growth ...
- 1