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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Why are sandwich variance estimators in small sample sizes biased in only one direction?

As my question states I am interested to know why sandwich variance estimators tend to underestimate the variance of regression coefficients unlike ML-estimators where the bias goes both ways.
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13 views

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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2answers
36 views

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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18 views

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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26 views

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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7 views

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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10 views

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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9 views

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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15 views

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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5 views

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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1answer
17 views

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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34 views

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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1answer
59 views

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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18 views

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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14 views

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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1answer
101 views

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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20 views

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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42 views

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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9 views

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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1answer
76 views

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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28 views

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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23 views

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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55 views

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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52 views

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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1answer
62 views

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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25 views

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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25 views

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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18 views

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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20 views

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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18 views

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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47 views

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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83 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 ...
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1answer
30 views

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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29 views

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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33 views

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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79 views

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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13 views

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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14 views

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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27 views

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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23 views

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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37 views

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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102 views

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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12 views

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 ...
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11 views

simulate random correlated binary variate

I'm using a generalized estimating equation (GEE) model to fit binary data. Using the original model fit on my observed data, I would like to simulate response variable, but because there is no ...
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9 views

Number of parameters for a GEE

How can I determine the number of parameters I have for each of 2 Generalized Estimating Equations, as well as the log-quasi-likelihood for each equation, using R? I am using the geepack library, R ...
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59 views

Bayesian estimation of GEE models

I'm facing a problem where I want to model a GEE with a tweedie distribution but it's not implemented in any R package that I found. I know that GEEs and linear mixture models (LMM) are somehow ...
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31 views

Should I use GLMM or GEE for analyzing data from a repeated behavioral economic game experiment (e.g., iterated prisoner’s dilemma)?

I have data from a repeated behavioral economic game experiment in which dyads play the prisoner’s dilemma game for 60 rounds. In each round, each player in a dyad decides to either cooperate (1) or ...
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52 views

GLMMpql and GEE differences for univariate time series

I am hoping to compare a GLS, GLM, and GLM with autocorrelation for a non-normal data set using their RMSE values. I was originally intending to use a GLM-GEE, because I have seen them used in the ...
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126 views

Discrepancy between Wald test and score test in Type-3 analysis in PROC GENMOD

My logistic regression model has a binomial response and 3 categorical predictors, A, B and C. A is binary B is ternary C is ternary The observations are clustered under a factor R. There are ...
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124 views

Conditional logistic regression or GEE in PS matched study

My situation: In a cohort study, I'm trying to find the correlation between outcome & Tx (Arm A vs Arm B). However, baseline covariates are unbalance between different treatment groups. Hence, ...