TheRPackagegeepackfor Generalized Estimating Equations [PDF]
Journal of Statistical Software, 2006 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. Clustered data arise in many applications such as longitudinal data and repeated measures.
Ulrich Halekoh +2 more
semanticscholar +9 more sources
TENSOR GENERALIZED ESTIMATING EQUATIONS FOR LONGITUDINAL IMAGING ANALYSIS. [PDF]
Stat Sin, 2019 40 pages, 4 figures, 2 ...
Zhang X +5 more
europepmc +11 more sources
Generalized bootstrap for estimating equations [PDF]
The 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)
Snigdhansu Chatterjee, Arup Bose
core +7 more sources
Correlates of Stress in the College Environment Uncovered by the Application of Penalized Generalized Estimating Equations to Mobile Sensing Data. [PDF]
JMIR Mhealth Uhealth, 2019 Background Stress levels among college students have been on the rise for the last few decades. Currently, rates of reported stress among college students are at an all-time high.
DaSilva AW +5 more
europepmc +3 more sources
Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations. [PDF]
Front 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.
Lin S +15 more
europepmc +2 more sources
A covariance correction that accounts for correlation estimation to improve finite-sample inference with generalized estimating equations: A study on its applicability with structured correlation matrices. [PDF]
J Stat Comput Simul, 2016 Westgate PM.
europepmc +4 more sources
A robust and unified framework for estimating heritability in twin studies using generalized estimating equations. [PDF]
Stat Med, 2020 The ‘heritability’ of a phenotype measures the proportion of trait variance due to genetic factors in a population. In the past 50 years, studies with monozygotic and dizygotic twins have estimated heritability for 17,804 traits;1 thus twin studies are ...
Arbet J, McGue M, Basu S.
europepmc +3 more sources
Grouped Generalized Estimating Equations for Longitudinal Data Analysis [PDF]
Biometrics, 2022 Abstract Generalized estimating equation (GEE) is widely adopted for regression modeling for longitudinal data, taking account of potential correlations within the same subjects. Although the standard GEE assumes common regression coefficients among all the subjects, such an assumption may not be realistic when there is potential ...
Tsubasa Ito, Shonosuke Sugasawa
openaire +4 more sources
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
openalex +3 more sources
Generalized Estimating Equation for the Student-t Distributions [PDF]
2018 IEEE International Symposium on Information Theory (ISIT), 2018 6 pages, Submitted to ISIT ...
Atin Gayen, M. Ashok Kumar
+7 more sources