Linked Questions

3
votes
1answer
198 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 ...
0
votes
2answers
220 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 ...
1
vote
1answer
410 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. ...
1
vote
2answers
889 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 ...
55
votes
5answers
6k views

How exactly does a “random effects model” in econometrics relate to mixed models outside of econometrics?

I used to think that "random effects model" in econometrics corresponds to a "mixed model with random intercept" outside of econometrics, but now I am not sure. Does it? Econometrics uses terms like "...
1
vote
1answer
595 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 ...
3
votes
0answers
131 views

What is the difference between bi-level linear models and models with interaction terms?

My question is triggered by this question. I can't see that it has been asked here before, even though it looks like a natural enough question. Suppose I have hierarchical data. The Wikipedia article ...
2
votes
1answer
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): ...
1
vote
2answers
218 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. ...
7
votes
2answers
1k views

Longitudinal data: baseline effect versus random intercept

The variable $Y$ is measured at time points $t_1$, $\ldots$, $t_9$ for each of five objects. Also available for each object is the value of $Y$ at time $t_0 = 0$ (baseline). Thus, the sample size is $...
6
votes
1answer
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, ...
11
votes
1answer
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 ...
5
votes
1answer
470 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 (...
0
votes
0answers
221 views

What is the difference between fixed effect and random effect model of ANOVA and when these should apply? [duplicate]

ANOVA Test is used on mean score of individual studies' parametric estimates with fixed and Known population or random unknown population.
4
votes
1answer
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 ...

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