All Questions
10 questions
3
votes
1
answer
64
views
Model diagnosis in GLMM model of binary outcome variable
I am trying to do a research article on morbidity, which is categorical, i.e., yes or no. I also consider fixed and random effects, given that all of the fixed effect covariates are categorical. Here ...
1
vote
0
answers
93
views
Upward trend in Residuals vs. Fitted - Violation of linearity?
I am currently working with longitudinal data using a linear mixed model (lme4 R package).
The linearity plot (fit with ...
- 433
2
votes
0
answers
384
views
What kind of residuals should we test for linear mixed-effects models (LMER)?
I'm on a journey trying to get my mind around the normality of residuals assumption for linear mixed-effects models, this is a FOLLOW-UP POST
While studying to better understand what I could do to ...
- 843
3
votes
2
answers
1k
views
Kruskal Wallis Test with Random Effect?
I am trying to analyse the effect of season (autumn or summer) on frog sperm cell concentration (continuous, expressed as cells/ml). Because I don't know if there is an effect of male variation I want ...
- 31
1
vote
0
answers
96
views
County-level fixed effect model - how to improve the predictive power
I'm doing a linear regression in the hopes of developing a predictive model for fatal drug overdoses at the county level. My data looks like this (note, pc=per-capita), there are 504 total ...
- 141
1
vote
1
answer
395
views
Interpreting DHARMa residuals for a glmer.nb regression using count data
1
I am modeling overdispersed count data (detection of species) in a GLMM to account for changes in the number of detections of the individual (response variable) to covid period, area (rural vs urban)...
1
vote
0
answers
10
views
Interpreting DHARMa residuals for a glmer.nb regression using count data [duplicate]
I am modeling overdispersed count data (detection of species) in a GLMM to account for changes in the number of detections of the individual (response variable) to covid period, area (rural vs urban) ...
0
votes
0
answers
859
views
Testing the spatiale autocorrelation on the residuals of the mixed-effect logistic regression
I have temporal blocks in my data frame, so I took the effect of time dependency through a random intercept in a glmer model. Now I want to test the spatial autocorrelation in the residuals but I’m ...
- 155
3
votes
1
answer
3k
views
Interpreting a binned residual plot for logistic regression
I have the following mixed effect logistic regression:
ball3=glmer(Buried~Offset+Width_mm+(1|Chamber), family=binomial, data=ballData)
And I would like to ...
- 623
1
vote
1
answer
3k
views
Linear (mixed-effects) model for skewed and negative data / residuals
I am currently fitting a linear mixed-effects model to my data where the outcome variable can have both positive and negative values (integers).
The issue now is, that my outcome data is skewed with ...
- 11