TENSOR GENERALIZED ESTIMATING EQUATIONS FOR LONGITUDINAL IMAGING ANALYSIS. [PDF]
Stat Sin, 2019 40 pages, 4 figures, 2 ...
Zhang X +5 more
europepmc +10 more sources
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
doaj +4 more sources
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
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
Mortality Modelling using Generalized Estimating Equations
SSRN Electronic JournalThis paper presents an application of Generalized Estimating Equations (GEE) for analyzing age-specific death rates (ASDRs), constituting a longitudinal dataset with repeated measurements over time. GEE models, known for their robustness in handling correlated data, offer a reliable solution when individual data records lack independence, thus ...
Reza Dastranj
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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
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
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
Gee-logit model corrected biplots with harvest effects on coffee beans grading
Bioscience Journal, 2021 In a granulometric analysis of coffee beans with different categories of defects, the data can be organized in contingency tables, and when considering the discrimination by harvest, they may have a structure that suggest a more complex model, by means ...
Haiany Aparecida Ferreira +3 more
doaj +3 more sources