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.

GEE stands for Generalized Estimating Equations. It 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.

363 questions
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GEE: choosing proper working correlation structure

I am an epidemiologist trying to understand GEEs in order to properly analyze a cohort study (using Poisson regression with a log link, to estimate Relative Risk). I have a few questions about the "working correlation" that I would like someone more…
6
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1 answer

How is the working correlation matrix estimated for GEE?

From a slides How does GEE work? First, a naive linear regression analysis is carried out, assuming the observations within subjects are independent. Then, residuals are calculated from the naive model (observed-predicted) and a working…
Tim
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3
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1 answer

GEEs in case of a small number of clusters with strongly heterogeneous cluster size

My data set includes 400 records. Each record comprises values for the binary outcome variable $y$ and 12 categorical predictor variables $x_1, ..., x_{12}$, most of which are binary too. The records originate from 10 different studies, of which one…
Lena
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2 answers

Interpretation of GEE coefficients

Suppose blood pressure is a continuous outcome variable and you run a linear GEE with following predictors: age (years), weight (lbs), and smoking (yes/no). How would you interpret the coefficients for these predictors? Would it be the same as in…
guy
  • 153
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Subsequent analysis on estimated marginal means from GEE

I have a set of data measuring response variable (length) on the same individual over several time points in nine different treatments (pH). Due to the confounding effect of temperature and it's biological relevance for interpretation, this data are…
Sanja_
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1 answer

GEE estimates in R diverge when all responses of one level of a categorical predictor are 0

This is my first post so please bear with me. I do not have statistics background and I am still learning my way around so your answers will be very helpful. I am using GEE in R to compare the levels of a categorical predictor (Gp) with 2 levels on…
Aovial
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0 answers

Generalized Estimating Equation Correlation and Interpretation

I am extremely new to this, so bare with me: I am trying to run a generalized estimating equation analysis to assess the association between television viewing in childhood (coded categorically as "tv": <=0.5 hours, 1 hour and =>2 hours/day) and…
Mona
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1 answer

What Are Nuisance Variables (and Parameters)?

In my trying to further unpack generalized estimating equations, I keep coming across these terms. But after a whirlwind of searching on Google, I really have no idea what it is. What does it mean when the covariance structures are treated as a…
EJ16
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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 create? Will GEE be stable with so few repeated…
emogene
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GEE contradicts descriptives

I'm writing my thesis on the effects of tobacco control policies on tobacco cognitions. One of the cognitions is pro-smoking health beliefs and is a dependent variable in a binary generlized estmimation equation. Descriptives Over time, that is…
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1 answer

GEE set up for longitudinal data

Hi I'm having trouble setting up my data in long format for GEE. I know multiple waves of data must have the same variable names but what if these variables are wave specific? Outcome: Substance use initiation at wave 2 among naive…
Stella
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