All Questions
13 questions
4
votes
1
answer
48
views
Multilevel Modeling in Linear Mixed Models versus Generalized Linear Mixed Models
I am analyzing a data set that includes several discrete and continuous outcome variables (DV). For the continuous DVs I intend to use Linear Mixed Models (LMM) processed in SPSS. For the discrete ...
- 135
2
votes
0
answers
33
views
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
0
votes
0
answers
49
views
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
8
votes
1
answer
1k
views
Why do random effects require a minimum # of levels?
I have always heard random effects require a minimum number of levels to be correctly specified in a hierarchical (mixed-effects) model. I can admit to following this rule without question (mostly ...
- 2,071
1
vote
0
answers
63
views
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 ...
0
votes
1
answer
26
views
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
3
votes
1
answer
136
views
What are marginal and conditional errors in a GLMM?
I'm modifying my ecology paper according to what the reviewers suggested but I have an issue with one statistical-related question.
I ran a GLMM in lme4 on R to model the presence/absence of a certain ...
- 31
2
votes
1
answer
638
views
Binomial GLMM (GLMER) with proportions in unbalanced, observational panel data: nesting issues and errors
Thanks in advance.
I am new to mixed models and having several doubts about a mixed model (lme4's glmer, binomial) with multiple levels, measuring a proportion [0,1] in three time periods.
My data ...
- 372
2
votes
1
answer
63
views
Hierachical Random Mixed effect sizes
When using a mixed effect model the rule of thumb seems to be that you need at least 5 levels to use a random factor . Is this still True when you have a hieachical model.
i.e
A - 4 level factor
B - ...
- 23
9
votes
0
answers
2k
views
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 ...
3
votes
0
answers
893
views
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
4
votes
1
answer
5k
views
Level-2 predictions with lme4/glmer model
Let's say I've fitted a 2 level model with glmer like this:
...
- 205
7
votes
3
answers
607
views
Temporal analysis of variation in random effects
I am looking at patient data where the main outcome of interest is mortality within 30 days following hospitalisation with an emergency condition. I am working on data from 2003-2017, with ...
- 2,020