Questions tagged [glmm]
Generalized Linear Mixed (effects) Models are typically used for modeling non-independent non-normal data (eg, longitudinal binary data).
1,066
questions
0
votes
0
answers
44
views
Mixed Effects models approach?
I've been debating on a more deliberate diving into working with mixed models but I am slowly feeling overwhelmed. I've been going through resources (tutorials, webpages, books, etc) and have feeling ...
- 163
1
vote
1
answer
15
views
GLMM Model Averaging with Predictor Multicollinearity
I am running GLMM models to determine how environmental factors influence bird collisions. I've obtained a list of candidate models with delta AIC less than 2, and I want to perform model averaging.
I ...
- 11
0
votes
1
answer
22
views
Intercept estimates VERY different comparing glm and glmm
Can anyone explain the following puzzling phenomenon? I'm fitting a binomial glmm using glmer from the lme4 package of R. The mean of the binary response variable in the dataset is about 0.1. When I ...
- 861
2
votes
1
answer
30
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 ...
- 85
0
votes
0
answers
17
views
Reporting significance of fixed effects in clmms - when to use ANODE tables?
I am working on some mixed effects models for ordinal outcomes using clmm. I have settled on my final model, and now want to present the findings. On reading around, I see the use of ANODE tables both ...
- 1
0
votes
0
answers
28
views
Linear mixed model, negative information criteria values and Hessian matrix not positive definite?
I'm trying to perform this operation in R.
...
- 1
0
votes
0
answers
15
views
Tradeoff between autocorrelation and memory in a GLMM
I am working with a large dataframe in R. It is a BACI design (Before-After-Control-Impact). I am interested in seeing if the interaction between Treatment (0 = control, 1 = impact) and Period (Before,...
1
vote
1
answer
29
views
Fitting random slope for a subject-level predictor
In a nutshell, I am trying to understand whether it makes sense to include random slopes for group-level (or subject-level) predictors in a mixed effects model?
Some Background: I am fitting a mixed ...
2
votes
2
answers
59
views
Looking for a modification of variable importance in ANCOVA-type glmm
This question is about a statistical concept I think should exist. I would like to know if it has a name and hopefully an R package that will implement it. It is related to variable importance/...
- 41
7
votes
1
answer
160
views
General Linear Mixed Model: How do I fix 'Rescale variables? Model is nearly unidentifiable' error on glmer
I'm trying to fit a generalized linear mixed model (GLMM), but I'm getting a persistent error. I'm looking at the relationship between weather (continuous variables: rainfall, maxtemp, and mintemp) ...
- 71
1
vote
1
answer
36
views
How reasonable is it to divide an offset by an integer to make the model non-singular?
I have been trying to fit a GLMM (Poisson) into a dataset which has flock size as response variable, climatic data as fixed effects, and different Zoos in the USA as random effects. I am a novice in ...
- 23
0
votes
0
answers
31
views
GLM Multiple Comparisons
I am performing several Generalized Linear Models in my analysis and I am wondering which method to use for adjusting p-values due to multiple comparisons.
I have 4 outcomes (judgement of intensity ...
- 11
1
vote
2
answers
74
views
Choose sample size in Linear mixed models. Ethical considerations
There are no reference articles on this topic, the linear mixed model requires real data on results to calculate the sample size, unlike an anova model that requires data on power, significance and ...
- 91
0
votes
0
answers
25
views
Is there an way to model random effects in a design that is typically analyzed by the McNemar test?
My question is: if in a study with paired binary response data (where McNemar test is often used) we can use the exact binomial test to test the odds ratio, is it possible to model the same odds ratio ...
- 569
0
votes
0
answers
39
views
R throws deficiency warning when running a logistic regression (LMM)
I have never run a logistic regression analysis (linear mixed-effects model) in R, but it seems to be a reasonable approach to answer the question as to what extent condition BB affects the ...
Andreas