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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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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Asymptotic results with generalized estimating equations for longitudinal data [PDF]
The Annals of Statistics, 2005 We consider the marginal models of Liang and Zeger [Biometrika 73 (1986) 13-22] for the analysis of longitudinal data and we develop a theory of statistical inference for such models. We prove the existence, weak consistency and asymptotic normality of a
Balan, R. M., Schiopu-Kratina, I.
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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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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.
Sarah J. Ratcliffe, Justine Shults
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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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A Comparison of Correlation Structure Selection Penalties for Generalized Estimating Equations. [PDF]
Am Stat, 2017 Westgate PM, Burchett WW.
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One-Step Generalized Estimating Equations with Large Cluster Sizes. [PDF]
J Comput Graph Stat, 2017 Lipsitz S +5 more
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Efficiency of Generalized Estimating Equations for Binary Responses [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2004 SummaryUsing standard correlation bounds, we show that in generalized estimation equations (GEEs) the so-called ‘working correlation matrix’R(α) for analysing binary data cannot in general be the true correlation matrix of the data. Methods for estimating the correlation param-eter in current GEE software for binary responses disregard these bounds. To
N. Rao Chaganty, Harry Joe
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Improving power in small-sample longitudinal studies when using generalized estimating equations. [PDF]
Stat Med, 2016 Westgate PM, Burchett WW.
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