All Questions
Tagged with likelihood-ratio lme4-nlme
23
questions
3
votes
1
answer
183
views
Residual likelihood ratio test for fixed effects in a linear mixed model
I know (but now I have doubts) that "Comparing models that are fitted with REML and differ in their fixed effects never makes sense," just as @BenBolker explains in this answer.
I've been ...
- 10.5k
1
vote
1
answer
193
views
Likelihood ratio tests vs. ANOVA for interactions in linear mixed model
I am analyzing a longitudinal study where patients received either treatment 1, treatment 2 or no treatment (placebo) using linear mixed models (LMM) in R. I have a baseline measure that is related to ...
- 55
6
votes
1
answer
981
views
What exactly do Anova sums of squares represent in lmer models?
In a lme4::lmer model, the anova function returns an sequential analysis of variance table.
As explained on page 34 of http://...
- 281
3
votes
1
answer
1k
views
Do I have to drop a random slope if I drop the fixed effect in mixed-models for model comparison?
I'm performing a model comparison using the likelihood ratio test in R with two mixed models fitted with lme4.
My model is:
...
2
votes
2
answers
235
views
On the P-value of the variance of random intercept in glmer model
I'm using a logistic mixed-effect model with random intercept through glmer function from lme4 package. I want to test the ...
- 155
2
votes
1
answer
261
views
How to calculate p-values in a glmer with multiple explanatory variables using likelihood ratio tests in R
I would like to ask a quite general question about how to use likelihood ratio tests to calculate p-values in a glmer. The goal is to report these in a paper to show whether each of the explanatory ...
- 31
1
vote
1
answer
95
views
Likelihood ratio not significant but bootsrapping is (and is not)
I modelled eight lmer models via the lme4 package.
First, I compared the models via a likelihood ratio test yielding this:
...
- 415
1
vote
0
answers
23
views
LRT signficiant but not planned contrasts (mixed model)
I set up multiple models (each model adding a main effect and an interaction) with glmerfrom the R package lme4.
Conducting a ...
- 415
0
votes
0
answers
95
views
When assessing fixed effects in LME for statistical significane do I leave interaction terms in?
I'm trying to assess the statistical significance of some fixed effects and interactions in a linear mixed effects model I'm building. I'm essentially following the tutorial laid out by Bodo Winter (...
- 11
0
votes
0
answers
226
views
Summary Output for Nested Random Effect in Fixed Effect
I am trying to build a mixed model with random effect nested in fixed effect.
Below is an example dataset.
...
- 101
3
votes
2
answers
915
views
Do Likelihood Ratio Tests "respect hierarchy" in linear mixed models?
The following example from the JSS paper on pkbrtest shows an LRT meant to test for the effect of the whole-plot treatment (harvest):
...
- 5,417
2
votes
1
answer
78
views
Using LRT with alpha = .2 in lmm reduction guided by PCA
I'm wondering if it's valid to combine the methods for lmm reduction that Bates et al. (2015) and Matuschek et al. (2017) recommend:
Bates et al. suggest an iterative reduction of degenerate
maximal ...
- 6,335
1
vote
0
answers
2k
views
Using Likelihood Ratio Test and Bonferroni Correction with a Linear Mixed Effects Model with Random Intercept in R
This is my first time asking a question here, so please forgive any issues in clarity. I am also a newbie, so hopefully this makes sense!
I am interested in comparing multiple regions of interest, a ...
- 11
3
votes
0
answers
375
views
How can a larger mixed model converge while its nested version cannot?
I have a dataset with three fixed effects and two random effects as subjects and items. I'm fitting linear mixed-effect models and comparing models with the log-likelihood ratio to find the best fit.
...
- 33
4
votes
0
answers
336
views
Testing Fixed and Random Effect of Mixed Model
This pdf illustrates nicely how is to test the random effect of multilevel model . But I am simulating data from a two-level model and estimating the parameters of the model for various combination of ...
- 771