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 +11 more sources
TENSOR GENERALIZED ESTIMATING EQUATIONS FOR LONGITUDINAL IMAGING ANALYSIS. [PDF]
Stat Sin, 2019 Longitudinal neuroimaging studies are becoming increasingly prevalent, where brain images are collected on multiple subjects at multiple time points. Analyses of such data are scientifically important, but also challenging.
Zhang X +5 more
europepmc +11 more sources
Generalized bootstrap for estimating equations [PDF]
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 +6 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]
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
doaj +2 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
A Monte Carlo method for comparing generalized estimating equations to conventional statistical techniques for discounting data. [PDF]
J Exp Anal Behav, 2019 Discounting is the process by which outcomes lose value. Much of discounting research has focused on differences in the degree of discounting across various groups.
Friedel JE +3 more
europepmc +2 more sources
Grouped generalized estimating equations for longitudinal data analysis [PDF]
Biometrics, 2020 Generalized estimating equation (GEE) is widely adopted for regression modeling for longitudinal data, taking account of potential correlations within the same subjects.
Tsubasa Ito, S. Sugasawa
semanticscholar +4 more sources
Modification of the Sandwich Estimator in Generalized Estimating Equations with Correlated Binary Outcomes in Rare Event and Small Sample Settings. [PDF]
Am J Appl Math Stat, 2015 Regression models for correlated binary outcomes are commonly fit using a Generalized Estimating Equations (GEE) methodology. GEE uses the Liang and Zeger sandwich estimator to produce unbiased standard error estimators for regression coefficients in ...
Rogers P, Stoner J.
europepmc +2 more sources
Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation [PDF]
American Journal of Epidemiology, 2003 James A. Hanley +3 more
openalex +2 more sources