Modification of the Sandwich Estimator in Generalized Estimating Equations with Correlated Binary Outcomes in Rare Event and Small Sample Settings. [PDF]
Am J Appl Math Stat, 2015 Regression models for correlated binary outcomes are commonly fit using a Generalized Estimating Equations (GEE) methodology. GEE uses the Liang and Zeger sandwich estimator to produce unbiased standard error estimators for regression coefficients in ...
Rogers P, Stoner J.
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The R Package geepack for Generalized Estimating Equations [PDF]
Journal of Statistical Software, 2005 This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data.
Jun Yan +2 more
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Asymptotic results with generalized estimating equations for longitudinal data [PDF]
The Annals of Statistics, 2005 Published at http://dx.doi.org/10.1214/009053604000001255 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Balan, R. M., Schiopu-Kratina, I.
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Review of Generalized Estimating Equations by Hardin and Hilbe [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2003 The new book by Hardin and Hilbe (2003) is reviewed.
Steven Stillman
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Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation [PDF]
American Journal of Epidemiology, 2003 James A. Hanley +3 more
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Estimation of capture probabilities using generalized estimating equations and mixed effects approaches. [PDF]
Ecol Evol, 2014 Modeling individual heterogeneity in capture probabilities has been one of the most challenging tasks in capture-recapture studies. Heterogeneity in capture probabilities can be modeled as a function of individual covariates, but correlation structure ...
Akanda MA, Alpizar-Jara R.
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Stagewise Generalized Estimating Equations with Grouped Variables
Biometrics, 2017 SummaryForward stagewise estimation is a revived slow-brewing approach for model building that is particularly attractive in dealing with complex data structures for both its computational efficiency and its intrinsic connections with penalized estimation.
Jun Yan +5 more
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R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses [PDF]
, 2014 The R package multgee implements the local odds ratios generalized estimating equations (GEE) approach proposed by Touloumis, Agresti, and Kateri (2013), a GEE approach for correlated multinomial responses that circumvents theoretical and practical ...
Anestis Touloumis
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GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares [PDF]
Journal of Statistical Software, 2008 The GEEQBOX toolbox analyzes correlated data via the method of generalized estimating equations (GEE) and quasi-least squares (QLS), an approach based on GEE that overcomes some limitations of GEE that have been noted in the literature.
Justine Shults, Sarah J. Ratcliffe
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Covariance estimators for generalized estimating equations (GEE) in longitudinal analysis with small samples. [PDF]
Stat Med, 2016 Wang M, Kong L, Li Z, Zhang L.
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