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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.
Søren Højsgaard +2 more
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Generalized bootstrap for estimating equations
Annals of Statistics, 2005 Published at http://dx.doi.org/10.1214/009053604000000904 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
, Arup Bose
exaly +5 more sources
Generalized Estimating Equations
Methods of Information in Medicine, 2010 Summary Background: Generalized estimating equations (GEE) are an extension of generalized linear models (GLM) in that they allow adjusting for correlations between observations. A major strength of GEE is that they do not require the correct specification of the multivariate distribution but only of the mean structure.
Andreas Ziegler
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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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%QLS SAS Macro: A SAS Macro for Analysis of Correlated Data Using Quasi-Least Squares
Journal of Statistical Software, 2010 Quasi-least squares (QLS) is an alternative computational approach for estimation of the correlation parameter in the framework of generalized estimating equations (GEE). QLS overcomes some limitations of GEE that were discussed in Crowder (1995).
Han-Joo Kim, Justine Shults
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GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares
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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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
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Viruses, 2022 This study investigated the kinetics in HBsAg and the HBsAg loss rate after entecavir or tenofovir disoproxil fumarate (TDF) cessation in patients with chronic hepatitis B (CHB) who achieved virological suppression after virological relapse without ...
Tzu-Ning Tseng +6 more
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Parameter Estimation Based on Cumulative Kullback–Leibler Divergence
Revstat Statistical Journal, 2021 In this paper, we propose some estimators for the parameters of a statistical model based on Kullback–Leibler divergence of the survival function in continuous setting and apply it to type I censored data.
Yaser Mehrali , Majid Asadi
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Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data [PDF]
PeerJ, 2014 Longitudinal data with binary repeated responses are now widespread among clinical studies and standard statistical analysis methods have become inadequate in the answering of clinical hypotheses.
Anil Aktas Samur +2 more
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