# Questions tagged [generalized-estimating-equations]

Stands for Generalized Estimating Equations which is an approach to estimating regression coefficients. GEE can be used on clustered / longitudinal data and has the attractive property that it provides consistent estimators of regression coefficients and unbiased inference even when the association structure within a cluster is mis-specified.

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### Clarification on a GEE model including time-varying covariates

I was wondering if GEE method can work with time varying covariates? I have a longitudinal study which include time dependent covariates and I am not sure wether I can still use GEE model or not Based ...
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### Is the GEE model an appropriate approach for this study?

I have the following data structure (longitudinal data). Over a period of several months, multiple tests (such as a vocabulary exam, a game exam, and a math exam) are administered to assess brain ...
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### How to derive GEE from GLM?

I am now reading the lecture note from: https://dept.stat.lsa.umich.edu/~kshedden/Courses/Regression_Notes/gee.pdf Why do we have $V_{i}^{-1}(y_{i}-\mu_{i})$? I cannot link the last equation on page ...
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### Is it valid to use "withdrew from study" in a mixed model to help with dropout bias in longitudinal data?

Consider the hypothetical dataset where a number of study participants have no change over time in a particular outcome, but their probability to drop out of the study is related to the baseline value ...
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### reproduce an analysis of a simple crossover trial using GEE from a paper

I am trying to reproduce the results in Table 6 from this paper entitled "The analysis of binary and categorical data from crossover trials". https://journals.sagepub.com/doi/epdf/10.1177/...
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### Using GEE models without clustered data

I am studying a set of longitudinal data with an N-of-1 approach. This means studying each patient in the data separately. I know there is correlation in my response variable and I am looking to use ...
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### How to calculate an effect size and confidence interval after running a Generalised Estimating Equation?

I am doing a randomised controlled trial and I need to use a GEE model for my statistical analysis. I have two groups (intervention and control) and I collect injured subjects every month (during 7 ...
126 views

### Logistic regression with complete separation AND repeated measures

Consider a typical logistic regression on data with a binary response $Y$, and some predictor variables $X$'s. I understand that when the event is rare, or in the case of complete separation, one ...
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### Understanding the Limitations of GEE

Review of GEE: Generalized Estimating Equations (GEE) are used to estimate the parameters of a generalized linear model. The main advantage of GEE is that they essentially allow you to model a ...
1 vote
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### Statistical Comparison of Continuous Outcomes Across Groups with Identical Observations

Cross Validated community, I am working with a dataset of restaurants that have been classified by both Michelin and Rafaelo rating systems. Specifically, Michelin has categorized restaurants into A, ...
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1 vote
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### Does GEE (Generalized Estimating Equations) need normality of residuals for inference in case of "approx. Gaussian" response?

A quick question. My intention is to analyze some numerical data across several categories (treat this as ANOVA, if you wish, but I'm going to focus on simple effects) that are "just numeric"...
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### Asymptotic Normality for GEE Parameters

In the famous Liang and Zeger 1986 paper on GEEs https://www.jstor.org/stable/2336267?seq=9, they sketch a proof using the standard m-estimator arguments: (unstated) regularity conditions + first-...
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### How do I estimate and plot model predicted marginal means from a GEE model fitted using the multgee package in R?

I am trying to obtain model-predicted means and CI's from a GEE model fitted with the ordLORgee function in the Multgee package in R. I was able to fit the model and estimate the predicted means over ...
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### What are mixed effects without random effects?

Please pardon my ignorance, what is a mixed effects model without random effects, without any random intercept or random slope? Is this similar to marginal GEE model?
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### censored gee model

Does anyone know if it is possible to fit a left censored GEE model with autoregressive correlation structure ? I know censReg can handle left censored repeated ...
1 vote
36 views