# Tagged Questions

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 ...

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### Logistic GEE Models with Extreme Class Imbalance

I have two questions Question 1: I have a longitudinal data with extreme class imbalance: 9 cases of the event of interest out of a total of 3000. I believe I have 3 options and this is the of ...
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### Getting the intuition behind the GEE for logistic regression( concepts and equations)

I need to run a logistic regression but my data are clustered. What should I do? Should I run a GEE? If so could you please suggest an excellent book on this topic which gives a good intuition on ...
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### How to model GEE (generalized estimating equation) in data coming from two datasets?

I would like to model X (sentiment score, continuous between -1 and 1) and Y (smoking status, either 0 or 1). Individuals can be clustered by the "State" variable. It would be the most ideal if I ...
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### Repeat measures with missing data

Need guidance: I have repeat measures (5 successive measurements) of symptoms (categorical) & labs (continuous). N=809 patients. Outcome var is 1. composite outcome (sum of complications) ...
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### I have a dataset with binary outcome and correlated observations, is it propriety to use GEE?

My observations are clustered and within each cluster the are two types of correlation. Each cluster may undergo one or two or at the most three rounds. So here is the first type (type of correlation ...
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### multilevel analysis or GEE?

Binary outcome Observations are not completely independent They are clustered Number of observations within each cluster may vary Two kind of relationships within each cluster Each cluster may undergo ...
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### AIC (QIC) - comparision of models?

I am comparing models created by geeglm function in R software. Does QIC of a model need to be lower than QIC of a null model? (in geeglm, geepack, R)
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### Is there any possibility to calculate adj. r-squared for geeglm (GEE, geepack) in R?

I using geepack package in R fo generalized estimating equation model. Is it possoble co calculate a marginal r2 for a geemodel in R software? Thank you for answers
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### GEEGLM, Gee - prezenting results?

Does anyone have experience with using generalized estimating equations and the gee and geeglm functions in R? If so, could you ...
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### How to interpret geeglm results?

I have a question about the geeglm function in the GEE package in R. I am a beginner in statistics and the estimates in the output of the model are puzzling me. How ...
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### Generalized estimating equations - Multiple binary responses per condition (spss)

I have a repeated measures design. Each participant has two visits, one on placebo, one on drug. The task has a number of conditions. 'Target' has 2 levels, MS and RNG. Within the Target condition ...
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### Constructing A Simple Hypothesis

In the book Applied Longitudinal Analysis, 2nd Edition there is an example in the chapter "Marginal Models: Generalized Estimating Equations (GEE)" in "Muscatine Coronary Risk Factor Study" sub-...
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### longitudinal correlations matrices (structural covariance)

I am interested in doing structural covariance analyses in a longitudinal manner. In structural covariance analyses in our field, we correlate grey matter volumes of various regions of the brain with ...
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### Negative significance between zeros in GEE-Binary logistic model

In my experiment I record individuals response (yes or no,coded as 1 or 0) to 4 different treatments, in each trial all treatment are tested and repeated 10 times each but in random order. Thus I have ...
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### What happens to a GEE model when only a few cases have repeated values?

I am working with data in which approximately 17% (20 out of 120) of cases come from bilateral subjects. Is it worth using GEE to account for the potential bias the dependence between subjects may ...
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### Same Estimate and Confidence Intervals with Logistic and Link Functions

I fit a logistic regression and calculated the expected difference in probabilities of my outcome between two treatment levels holding all other variables constant. I obtained confidence intervals ...
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### Multilevel model for contextual variable

I want to know if the socioeconomic level of the municipality of residence has an impact on the probability of pursuing long studies. I have been told to use a multilevel model for that, because ...
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### Discrepency between confidence intervals of individual estimates and differences of estimates

I carried out a GEE Poisson regression on my dependent variable, number of days, and my independent variables are binary categories, including a high/low treatment indicator of interest. I obtained ...
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### Is Quasi-Poisson the same thing as fitting a Poisson GEE model?

The title says it all. I'm wondering if someone can help me understand the difference (if there even is one) between a Quasi-Poisson model and fitting a Poisson Regression Model using GEE? It is my ...
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### Cluster Boostrap with Unequally Sized Clusters

I need to perform a bootstrap for variance estimation on a GEE model for clustered data that I am analyzing. I understand that I need to use a clustered bootstrap for this, which is pretty much the ...
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### Evaluating the Relative Efficiency of General Estimating Equations (GEE)

I am doing a presentation on "Longitudinal Data Analysis Using Generalized Linear Models"(www.biostat.jhsph.edu/~fdominic/teaching/bio655/.../liang.bka.1986.pdf) (1986 Liang and Zeger). This paper is ...
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### Do betas from univariate GEE analyses equal correlation coefficients?

I have repeated data and need to determine the correlation coefficient between X and Y. Ive used GEE. Are the standardized parameter estimates from GEE (one variable X, predicting Y, repeated multiple ...
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### Getting a 0 correlation for Poisson marginal model in geepack in R

I'm trying to replicate Table 13.8 from Fitzmaurice, Laird, & Ware (2011) using R for teaching purposes. This is a GEE count model of the number of bacteria on 30 patients at two waves. In their ...
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### Repeated measures on motion data (ANOVA? GEE? Mixed Models?)

I have logged movement data from a number of subjects (n=21) who were moving in 3 different conditions. Each subject was presented with a counterbalanced order of stimuli (conditions). Each condition ...
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### Should I use GEE, Multilevel or Cox regression?

I am interested in the relationship between the number of hours worked per week and the chances of getting an illness. My dataset consists of 47 subjects, the predictor variable hours worked per week ...
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### Maximum cluster size in geepack?

I'm analyzing resource selection using generalized estimating equations in geepack with geeglm. It is a binomial dataset with used and available points. My problem is that the models are running for ...
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### Cluster selection and formula in (longitudinal) GEE models

I have a question according the "formula interface" from GEE models, for instance when using the gee function from the R gee package. Let's say I have a measured ...
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### Possible to estimate average treatment effect (ATE) using generalized estimating equations (GEE)

I know that the method of generalized estimating equations (GEE) returns "population-averaged" coefficients, but for nonlinear link functions is it possible to use GEE to estimate the average effect ...
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### How do I compare a continuous response variable across three levels of an IV at multiple time points when the IV is not fixed?

I'm proposing a project for a longitudinal data analysis class (it's about repeated measures ANOVA, GEEs, etc), but I'm a little stuck in choosing the correct analysis for my data. I have 20 years of ...
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### Are you able to determine a effect size for GEE analysis using a multinomial, cumulative logit (SAS)

I am working on my discussion in my dissertation using a GEE model, multinomial, cumulative logit in SAS and I know I was not able to get a psuedo R but wondered if other ways to get an effect size. ...
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### GEE with Mundlak-Chamberlain specification

I've only seen the Mundlak-Chamberlain (aka Mundlak aka Chamberlain* aka "correlated random effects": henceforth MC) specification applied in the random effects (RE) context. But is there any reason ...
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### AR-M correlation structure in GEE

I am trying to use the GEE package in R to fit a GEE model to some clinical trial data. The model fits fine using independent, or exchangeable correlation structures. I'm trying to use an AR-1 ...
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### Repeated measures with binary data

I've deigned an experiment in which participants read 24 narratives and guess if they are written by men or women and rate their own confidence. I thus have 24 binary repeated measures. I have the ...
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### logistic regression (unique dependent variable, two time-varying covariates and one unique covariate)

In a case-control study, my independent variable (Y) is a dichotomous variable (abandon versus complete). To explain that, I have three continuous variables: two are time-varying covariates (i.e. a ...
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### Marginal vs. Conditional Model

I have a question regarding GEE vs. GLMM. I know the probabilistic difference (marginal vs. conditional). What I want to ask, is when should I use each one. More specifically, in clinical trials, is ...
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### R-Side GLMM vs. GEE

I wanted to ask what is the difference between an R-Side mixed model (with a binary outcome) and a GEE ? People often call an R-Side GLMM a "GEE type" model, but it ain't a true GEE, since it has also ...
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### Analysing time series of unequal lenght

Hej all, I am analysing the pattern of snow melt with 5 replicates, at each of which there exist two experimental sites: one control, and one fenced exclosure for herbivores. I would like to ...
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### Modeling Correlated Binary Data

I have data which looks like this: Subject ID (unique identifier), Group (Treatment or Control), Eye (Left / Right), Outcome (Success / Failure). The data is coming from a trial testing a new ...
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### 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 ...
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### Which model to choose: GLMM or GEE?

I have data with a binary outcome (success/failure) and a binary explanatory variable (treatment/control). For each subject (this is a clinical study), I have two observations, coming from two eyes. ...
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### Notion of independence & logistic regression for clustered data from negotiation experiment?

I am currently analyzing data from a negotiation experiment, where 200 participants negotiated with each other in pairs (=> 100 negotiations). Personality traits of both negotiators and their ...
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### Convergence of GLMM vs GEE

I am tring to figure out an issue which bothers me for quite some time, maybe you can help me understanding it. I wrote a SAS program to simulate the power (power analysis) for an experiment, where I ...
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### How to compare GEE models with Linear models in R

I got a dataset, and I fit the data by linear model first and get a fitted model. and then I introduced a random effect, the subject or id in R arguments. and get a fitted gee model, so how to compare ...
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### Does this analysis make sense and can references to similar work be provided? [duplicate]

I posted this question previously here, but did not receive any answers. I'm resurrecting this question in hopes that someone might be able to provide some feedback and/or references. Hopefully this ...
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### Model Predictions on Existing Data with a Single Covariate Manipulated?

I have a (logistic) regression model that I have used to predict mortality in a set of hospitals given patient and hospital characteristics. I have a model now that seems to predict quite well. ...
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### Binomial or Poisson structure in GEE

I have a dataset with two total number of trials and two number of successes for each individual in two different situations. In addition, I have two groups of individuals, e.g.: ...
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### geeglm with incomplete time series data

I have a time series data set (response variable measured 32 times during the year on 10 different subjects). At the time of measuring the response, also 3 environmental variables were measured. I ...
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### Does this analysis make sense and can anyone provide relevent references?

I have a GEE logistic regression model that I've built that predicts that probability of mortality given a rather extensive set of covariates. I wanted to write here as a sanity check of sorts to ...
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### Bootstrap Confidence Bands/Simultaneous Confidence Intervals for GEE Logistic Model

I have a relatively complex logistic model I built using generalized estimating equations (GEE). The model is used to predict population mortality. I have gone about estimating the mortality in the ...
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### Do I use GLM or GEE. Determine the relationship of a continuous covariate on a 2x2 (within Subjects) interaction?

I have a 2x2 within subjects design with a continuous covariate. This covariate significantly alters the 2x2's interaction. I need to Determine the slope of the covariate's influence on the ...