Skip to main content

All Questions

0 votes
0 answers
17 views

How to report results from the likelihood ratio test of two lme models?

I am trying to find an appropriate way to report the results of the likelihood ratio test in a paper. I wrote: The likelihood ratio tests reported a significant main effect of FE (χ²(1)=6.06, p < 0....
Patlane's user avatar
4 votes
1 answer
310 views

Understanding residuals vs. fitted plot for a linear mixed model

I am modeling body mass (y var) according to indices of dysregulation for different physiologic systems (x vars). I did a likelihood ratio test, which supported using a linear mixed model, with a ...
burphound's user avatar
  • 117
1 vote
1 answer
36 views

Comparison of multilevel models via deviance test

I have a question regarding the comparison of the following two multilevel models: Null model: outcome.nullmodel <- lmer(outcome ~ 1 + (1 | ID), data=multileveldata) Random slopes model: outcome....
statquest's user avatar
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 ...
BulkySplash's user avatar
0 votes
0 answers
28 views

When using a likelihood ratio test to test for significance of a main effect, should I use the most maximal or minimal model as a base model?

Lets suppose I have a set of n covariates, and I want to test for the significance of the main effect of covariate i. I want to do this using a likelihood ratio test; fitting a model with covariate i ...
snickerdoodles777's user avatar
1 vote
1 answer
118 views

Does there always exist for n small, a non-chi-squared test-statistic for the likelihood-ratio (neyman-pearson, karlin-rubin), score, and wald-tests?

An additional reason that the chi-squared distribution is widely used is that it turns up as the large sample distribution of generalized likelihood ratio tests (LRT).[6] LRTs have several desirable ...
user avatar
4 votes
1 answer
316 views

Likelihood ratio test for random intercept (MATLAB)

I need to program a likelihood ratio test for testing the significance of a random effect in a linear mixed model in MATLAB. But I am having some trouble finding out how to correctly specify the null ...
tormad's user avatar
  • 125
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: ...
Filippo Gambarota's user avatar
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 ...
user1988's user avatar
  • 155
1 vote
1 answer
214 views

Comparing model efficiency

I hope you all don't mind me asking this question. I have two models : general linear mixed effects model ...
bison2178's user avatar
  • 487
7 votes
1 answer
587 views

Likelihood ratio test for mixed effects model

I'm currently struggling with how to assess the type I error of a permutation test for significance of variance term in R. The idea that I want to follow is outlined below: Suppose we simulate data ...
asdf's user avatar
  • 384
7 votes
1 answer
2k views

LRT comparing a random effects model and nested logistic regression model

I have a logistic regression model of the structure y ~ x1 + x2, and a generalized linear mixed model (GLMM) with random intercept and random slope, of the ...
bob's user avatar
  • 725
1 vote
1 answer
228 views

Comparision of mixed effect models via likelihood ratio test and assumption of homogeneity of variance

I would like compare different models with increasing complexity, since I would like to check the impact of each predictor (and the combination of both predictor variables) on the independent variable ...
user257053's user avatar
1 vote
0 answers
59 views

Why do the car::Anova(test="LRT", type=3) and anova(test="LRT") slightly differ in the output (details inside) [duplicate]

Let's say we have this data: ...
Damasco's user avatar
  • 163
6 votes
1 answer
2k views

Where are the Wald p-values and where are the LRT ones in the resulf of mixed models? [closed]

I read, that there are many methods of determining the degrees of freedom, thus calculating the p-values for fixed effects in mixed models. I read, that the worst is the Wald test and the Log-...
Damasco's user avatar
  • 163

15 30 50 per page