All Questions
Tagged with model-selection mixed-model
101
questions
9
votes
0
answers
93
views
Any Insights on the adoption and use of the Healthy Akaike Information Criterion (hAIC)?
Recently, I came across the Healthy Akaike Information Criterion (hAIC), introduced by Demidenko in his 2004 book "Mixed Models: Theory and Applications with R." Despite its (potential) ...
- 64.1k
3
votes
1
answer
193
views
Reduce the model sequentially
I was given an ANOVA table and asked to reduce the model sequentially.
I searched the online resources say: When reducing the model sequentially, you typically start by assessing the significance of ...
- 671
7
votes
3
answers
1k
views
Is parsimony crucial for statistical inference?
This question is based on using a regression for statistical inference (not prediction).
I have conducted hierarchical (logistic mixed effects) regression.
The first model includes the predictors of ...
- 512
1
vote
0
answers
24
views
Finding optimal combination of covariates using cross validation
I have a logistic mixed model (lme4 package in R). I want to assess whether participants scores on the measures 'sumspq', 'sumpdi', and 'sumcaps' significantly affect the difference in performance ...
- 512
7
votes
2
answers
143
views
How can I get a best model? An exploratory LMM
I'd like to inquire about the linear mixed model and its application to my dataset. The dataset comprises a dependent variable (DV) denoted as V, alongside three ...
- 71
1
vote
1
answer
69
views
Calculate (quasi) AIC for mixed-effect baseline-category (multinomial logit) model
I am doing a discrete choice experiment where respondents are presented with different patient profiles, and for each profile, respondents need to choose one (out of three) treatment options. An ...
- 13
4
votes
1
answer
73
views
Does adding a random intercept for subject address confounding variables within subjects (e.g. sex or age)?
Let's say I am interested in identifying associations between a blood protein and disease activity, but I have multiple measurements per subject. Based on a literature review, I expect sex differences ...
- 227
0
votes
0
answers
28
views
How do you use ordinal response data with several random effects to do robust hypothesis testing?
I want to explore the roles of lung presence and habitat on tadpoles' ability to tolerate low oxygen levels. My experimental design generated several measurements of "responsiveness" (on an ...
1
vote
1
answer
17
views
Associating a constant value over time with predictor variables
Question: How do you model a static response variable (change between baseline and final timepoint) with a variable that changes over time?
Background: A person's inflammation levels are measured at 0,...
- 227
0
votes
0
answers
19
views
number of parameters in Dirichlet Mixture Model clustering (non-bayesian)
I made a function that implements the clustering algorithm in the research article "Clustering compositional data using Dirichlet mixture model" (2022). I am now trying to figure out which ...
1
vote
0
answers
46
views
Testing signifiance of random effects on large dataset
I want to do a mixed linear model, with two hierarchical random effects. I want to determine wether if these random effects are worth including in the model.
I have tried so far doing :
...
- 41
1
vote
0
answers
171
views
Model comparison for robust linear mixed effects models
I have fitted two robust linear mixed effects models, null.model and full.model, with same random-effects term, ...
0
votes
0
answers
50
views
Linear mixed model - Model Selection
I have 290 clusters made up by subjects observed from one to 14 times, and a relative large number (45) are observed only once.
I worked in R, and I considered subjects ID as random effect.
The first ...
- 309
1
vote
2
answers
474
views
Random effects and fixed effects in GLMM
I have the following model written. I have chosen for field as a random factor. I understood that an interaction between a fixed and random will be written as a fixed effect. As a result, I have the ...
- 51
0
votes
1
answer
295
views
How to select predictor variables for linear mixed model?
I have a linear mixed model with ~30 clinical/treatment variables and repeated outcome variables for patients. E.g. The outcome variable is Breast symptom scores, which were collected at different ...
- 1