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.
Søren Højsgaard +2 more
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Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations [PDF]
Frontiers in Public Health, 2022 BackgroundMeteorological factors have been proven to affect pathogens; both the transmission routes and other intermediate. Many studies have worked on assessing how those meteorological factors would influence the transmissibility of COVID-19.
Shengnan Lin +17 more
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Generalized bootstrap for estimating equations
The Annals of Statistics, 2005 We introduce a generalized bootstrap technique for estimators obtained by solving estimating equations. Some special cases of this generalized bootstrap are the classical bootstrap of Efron, the delete-d jackknife and variations of the Bayesian bootstrap.
Bose, Arup, Chatterjee, Snigdhansu
core +4 more sources
A Generalized Estimating Equations Approach to Model Heterogeneity and Time Dependence in Capture-Recapture Studies [PDF]
, 2017 Individual heterogeneity in capture probabilities and time dependence are fundamentally important for estimating the closed animal population parameters in capture-recapture studies.
Md. Abdus Salam Akanda +1 more
openalex +5 more sources
Estimation of multivariate probit models: A mixed generalized estimating/pseudo-score equations approach and some finite sample results [PDF]
, 1996 In the present paper a mixed approach is proposed for the simultaneously estimation of regression and correlation structure parameters in multivariate probit models using generalized estimating equations for the former and pseudo-score equations for the ...
Hamerle, Alfred, Spiess, M.
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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.
europepmc +2 more sources
Modeling the Multidimensional Predictors of Multisite Musculoskeletal Pain Across Adulthood-A Generalized Estimating Equations Approach. [PDF]
Front Public Health, 2021 Ahlholm VH +4 more
europepmc +3 more sources
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
doaj +1 more source
A stochastic second-order generalized estimating equations approach for estimating association parameters. [PDF]
J Comput Graph Stat, 2020 Chen T, Tchetgen EJT, Wang R.
europepmc +2 more sources
geessbin: an R package for analyzing small-sample binary data using modified generalized estimating equations with bias-adjusted covariance estimators. [PDF]
BMC Med Res MethodolIshii R, Ohigashi T, Maruo K, Gosho M.
europepmc +3 more sources