928 views

Meaning of “Pre-Post estimation model”

The model given just looks like a time series panel data with added controls but then I noticed that there was only one constant (so not a Fixed Effects Model) and but the error term changes between ...
221 views

Compare differences in dependent frequencies

I would like to compare two error rates (proportion of incorrect answers in questions with dichotomous response-format) for two different items, and I am looking for some advice on how to do that. ...
239 views

Mathematical notation for glmer (GLMM)?

I'm looking for the mathematical notation equivalent of: glmer(ret15i~AARC_Ret+(1|METRO)+ret02i) I have a model; it is neither a HLM nor a GLM, but both. It is ...
10k views

Marginal model versus random-effects model – how to choose between them? An advice for a layman

In searching for any info about marginal model and random-effects model, and how to choose between them, I have found some info but it was more-or-less mathematical abstract explanation (like for ...
3k views

Can a variable be included in a mixed model as a fixed effect and as a random effect at the same time?

I am building a mixed model, where the same 4 groups are tested repeatedly 5 weeks on the measure M. I want to test the effect of group on the measure M. Can I build a model as following (let's say ...
13k views

Difference between random effect and random intercept model

I am looking at clustered data and because I was trained in economics I tend to look at fixed effects and random effects as solutions. An alternative would clearly be multi-level modelling. However, ...
474 views

Covariance pattern models versus generalized estimating equation models

Can somebody please explain the major differences between covariance pattern models (Hedeker and Gibbons, Chapter 6, 2006; Jennrich and Schluchter 1986) and generalized estimating equation models (...
21k views

What is the best technique for panel regressions (ols, fixed, between, random effects)?

I have panel data which includes American states (1-48) and years (1900-1917). All the variables are time-varying with one exception. This exception is time invariant and a three level categorical ...
8k views

Conditional logistic regression vs GLMM in R

I have paired data (GWAS case/control study) and I have heard using conditional logistic regression or generalized linear mixed models (GLMM) is appropriate. Which should I use in this case? Why would ...
228 views

Interpreting BLUPs or VarCorr estimates in mixed models?

I am referring to the question. When estimating random effect (RE) variance or correlation, the estimations are different in VarCorr(mod) function and when ...
3k views

Random-effects probit model

I am currently using a mixed binomial model with the following specification in a paper I recently submitted (using lme4): ...
451 views

Regularization models with random effects

Non-statisticians tend to use step-wise regressions which is strongly argued by statisticians. This is something that I don't understand (unfortunately, I am not a statistician), but I just obey them. ...
602 views

Random effects vs. fixed effects in twin studies

I am conducting a study on identical twins, such that the data can be considered as paired observations. I want to run a co-twin control analysis on the data to study the relationship between the ...