Unanswered Questions
2,925 questions with no upvoted or accepted answers
9
votes
0
answers
132
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) ...
9
votes
0
answers
1k
views
Should I cluster my standard errors even when using a multilevel model?
I've been reading up on multilevel modeling, and have noticed that many sources seem to frame it as an "alternative" to using cluster-robust standard errors.
My question: Are they really alternatives?...
9
votes
0
answers
1k
views
Should I cluster my standard errors even when using a multilevel model?
I've been reading up on multilevel modeling, and have noticed that many sources seem to frame it as an "alternative" to using cluster-robust standard errors.
My question: Are they really alternatives?...
9
votes
0
answers
2k
views
When and why do I have to use "trait" for multinomial multilevel models with MCMCglmm in R?
I want to estimate a multilevel multinomial logit model but I am struggling with the terminology and notation used by the R-package MCMCglmm. There is documentation ...
9
votes
3
answers
1k
views
Should I control for random effects of participant in an individual differences design?
I'm trying to analyse a survey study in which I'm interested in the way that individual differences between my participants influence how they respond to my stimuli. The stimuli are pieces of writing ...
9
votes
3
answers
1k
views
Should I control for random effects of participant in an individual differences design?
I'm trying to analyse a survey study in which I'm interested in the way that individual differences between my participants influence how they respond to my stimuli. The stimuli are pieces of writing ...
8
votes
1
answer
2k
views
GAMM with multiple and crossed random effects
I am new to Generalized additive mixed models (GAMM) and I'm trying to model a behavioral response variable (time spent shading eggs by a nesting bird in minutes ...
8
votes
0
answers
1k
views
Interpretation of glmmPQL() spatial autocorrelation output
I am modeling binominal data with random effects and spatial autocorrelation using MASS::glmmPQL().
Plotting the residual semivariogram of a model fit without ...
8
votes
0
answers
1k
views
Interpretation of glmmPQL() spatial autocorrelation output
I am modeling binominal data with random effects and spatial autocorrelation using MASS::glmmPQL().
Plotting the residual semivariogram of a model fit without ...
8
votes
0
answers
3k
views
How to simplify coxme survival models?
I have some questions about specifying a coxme (mixed-effects Cox proportional hazards) model in R and then simplifying it after reading the ...
8
votes
0
answers
2k
views
mixed effect model for method comparison of time series of paired measurements
A coworker and I are trying to analyze agreement between two measurement methods. I apologize in advance for needing some extra explanation due to the fact I'm an engineer whose statistics background ...
7
votes
0
answers
288
views
Why does increasing number of observations in linear mixed model cause Bayesian modelling approach to fail?
I have a fairly good understanding of the theory behind Bayesian modeling and I have started to attempt some practical modeling using jags in R. I have been ...
7
votes
0
answers
565
views
Mixed models formulation (GAMM, GLS, nlme): from R to mathematical notation
I have just finalised the analysis of a dataset fitting Generalised additive mixed models (GAMMs) with mgcv package in R v3.3.0. But I am having trouble in writing my models into their correct ...
7
votes
1
answer
779
views
Adding a magnitude penalty to a GAM
This is a follow-up to a previous question of mine, explaining the problem in more detail in the hopes of getting more precise advice.
Consider the following structured additive regression model or ...
7
votes
0
answers
2k
views
How should I include age in this mixed-effects model?
I've got repeated measures of hearing thresholds for a set of patients who each have a different inner ear measurement. This data is unbalanced, there are a varied number of measurements at varied ...