Linked Questions

9
votes
1answer
17k views

What is the difference between GLM and GEE?

Whats the difference between a GLM model (logistic regression) with a binary response variable which includes subject and time as covariates and the analogous GEE model which takes into account ...
6
votes
1answer
2k views

Logistic Regression with dependent observations

I have a dataset that contains 100 different patients over 5 year’s period. Every patient is examined each month with regard to particular illness and marked as healthy or ill (0 or 1). Every person ...
6
votes
1answer
6k views

GEE with exchangeable working covariance vs. assuming independence and using Huber-White standard errors?

I'm analyzing a dataset including 13000 students. Students are clustered into schools/grades. The ICC (intraclass correlation coefficient) shows that students in a same school are correlated. ...
6
votes
1answer
3k views

How does a generalized linear mixed model estimate means and how does this differ from calculating means by hand?

I've recently read a paper which used generalised linear mixed models to estimate mean annual and monthly values for the response variable in the model. The response variable was a normally ...
5
votes
1answer
13k views

What test is appropriate for binary outcome with repeated measures and binary, ordinal and continuous independent variables?

I'm trying to figure out what is the most appropriate statistic test for use with my data and was hoping for some advice. The primary data consists of a binary independent variable (patient test - ...
5
votes
1answer
2k 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 ...
3
votes
1answer
3k views

Interpret effect of adding random effects to ordinal regression (R - ordinal package - clmm)

I know there are already lots of questions around this topic (especially this one and this one) but I haven't really seen anything that directly helps me (It will be obvious I'm not a great ...
2
votes
1answer
105 views

Which ANOVA test to use in this experimental design?

I have an experimental design as follows: Three groups of cakes: treatment A, treatment B, control; Three replicates per cake. They are observed during 10 days for microbial growth. My interest is ...
2
votes
1answer
7k views

Getting the variance-covariance matrix of regression coefficients in GEE

I fitted a GEE model using the function genZcor with user defined correlation matrix. I want to get the var-cov matrix of the regression coefficients. But the ...
1
vote
1answer
55 views

How to isolate the effect of dichotomous predictor?

I want to isolate gender differences in preferences for a particular attribute of a product based on data available about their product purchases. I understand that I have to use a mixed Poisson ...
1
vote
1answer
346 views

GEE with longitudinal, mixed-effect data

I have a data set with a binomial response and am trying to determine the best way to model it. Based off of this post I believe I need to use a GEE vs a mixed effect model since I am interested in ...
1
vote
1answer
1k views

Advantages and Disadvantages of GLMM and GEE

I am making a list of disadvantages of GEE and GLMM for a correlated binary outcome. So far I know that GEE requires a relatively large number of clusters, and that it produces profile curves that ...
2
votes
0answers
128 views

Confidence intervals and hypothesis tests for binary choice data with repeated measures

I have data with two between-subjects factors (each with two levels; bs1 has levels ‘hi’ and ‘lo’, and bs2 has levels ‘happy’ and ‘sad’) and one within-subjects factor (ws1, with levels ‘good’, ‘...
1
vote
0answers
382 views

GEE and GLS. Are they similar?

First of all there is another question about it here, but it has no answers unfortunately...And also here, but it is more general about mixed models and GEE, while my question is more specific... So, ...
0
votes
0answers
116 views

Comparison between multi-level modelling and generalized estimating equation [duplicate]

Possible Duplicate: When to use generalized estimating equations vs. mixed effects models? I have a dataset from collected by cluster randomized sampling, I did a logistic regression on this ...

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