Tagged Questions

3
votes
1answer
126 views

Which model to use with repeated measures data that contains multiple binary dependent variables

What model should I use??? I have daily repeated measures data. It has multiple dependent presence absence variables, (of which, I have collapsed into a CA with continuous variables of CA1 & ...
3
votes
1answer
592 views

Interpreting coefficients of ordinal logistic regression when there is clustering within the data

I have built and refined a regression model using the ordinal package in R. The measure is $0>1>2>3>4>5$ (Yes/No ...
5
votes
1answer
2k views

What is the difference between generalized estimating equations and GLMM?

I'm running a GEE on 3-level unbalanced data, using a logit link. How does this differ (in terms of the conclusions I can draw and the meaning of the coefficients) from a GLM with mixed effects ...
11
votes
1answer
5k views

When to use generalized estimating equations vs. mixed effects models?

I have been quite happily using mixed effects models for a while now with longitudinal data. I wish I could fit AR relationships in lmer (I think I'm right that I can't do this?) but I don't think ...
4
votes
1answer
261 views

Is there a package for R that allows smoothing splines in GEE?

I run into a problem where I would like to build a GEE in R with cubic regression splines (or any other spline type) for a longitudinal data set and an urgent need for grouping and multiple ...