Small sample GEE estimation of regression parameters for longitudinal data

Type: Article

Publication Date: 2014-05-04

Citations: 47

DOI: https://doi.org/10.1002/sim.6198

Locations

  • PubMed - View
  • Statistics in Medicine - View

Similar Works

Action Title Year Authors
+ Comment on ‘Small sample GEE estimation of regression parameters for longitudinal data’ 2017 Nicola Lunardon
Daniel O. Scharfstein
+ PDF Chat Covariance estimators for generalized estimating equations (GEE) in longitudinal analysis with small samples 2015 Ming Wang
Lan Kong
Zheng Li
Lijun Zhang
+ PDF Chat Generalized Estimating Equations in Longitudinal Data Analysis: A Review and Recent Developments 2014 Ming Wang
+ Covariance estimators for Generalized Estimating Equations (GEE) in longitudinal analysis with small samples 2016 Ming Wang
Lan Kong
Zheng Li
Lijun Zhang
+ Comments on ‘Covariance estimators for generalized estimating equations (GEE) in longitudinal analysis with small samples’ 2016 José Luiz P. da Silva
Enrico A. Colosimo
+ PDF Chat Improving power in small‐sample longitudinal studies when using generalized estimating equations 2016 Philip M. Westgate
Woodrow Burchett
+ A comparison of bias‐adjusted generalized estimating equations for sparse binary data in small‐sample longitudinal studies 2023 Masahiko Gosho
Ryota Ishii
Hisashi Noma
Kazushi Maruo
+ PDF Chat geessbin: an R package for analyzing small-sample binary data using modified generalized estimating equations with bias-adjusted covariance estimators 2024 Ryota Ishii
Tomohiro Ohigashi
Kazushi Maruo
Masahiko Gosho
+ PDF Chat The Efficiency of First (GEE1) and Second (GEE2) Order “Generalized Estimating Equations” for Longitudinal Data 2014 Rizka Dwi Hidayati
I Made Tirta
Yuliani Setia Dewi
+ Dataset for: A Comparison of Bias-Corrected Empirical Covariance Estimators with Generalized Estimating Equations in Small-Sample Longitudinal Study Settings 2018 Whitney P. Ford
Philip M. Westgate
+ Generalized Estimating Equations and Gaussian Estimation in Longitudinal Data Analysis 2011 Xuemao Zhang
+ Bias‐reduced and separation‐proof GEE with small or sparse longitudinal binary data 2019 Momenul Haque Mondol
Mohammad Shafiqur Rahman
+ Improved methods for the marginal analysis of longitudinal data in the presence of time‐dependent covariates 2017 I‐Chen Chen
Philip M. Westgate
+ PDF Chat GEECORR: A SAS macro for regression models of correlated binary responses and within-cluster correlation using generalized estimating equations 2021 Tracie L. Shing
John S. Preisser
Richard C. Zink
+ Conditional mix-GEE models for longitudinal data with unspecified random-effects distributions 2016 Yanchun Xing
Lili Xu
Wenqing Ma
Zhichuan Zhu
+ A comparison of bias‐corrected empirical covariance estimators with generalized estimating equations in small‐sample longitudinal study settings 2018 Whitney P. Ford
Philip M. Westgate
+ Grouped GEE Analysis for Longitudinal Data 2020 Tsubasa Ito
Shonosuke Sugasawa
+ Comparison of generalized estimating equations and Quasi-Least Squares regression methods in terms of efficiency with a simulation study 2021 Erdoğan Asar
Erdem Karabulut
+ PDF Chat Optimal design of longitudinal data analysis using generalized estimating equation models 2016 Jingxia Liu
Graham A. Colditz
+ PDF Chat GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN 2014 Nazanin Nooraee
Geert Molenberghs
Edwin R. van den Heuvel

Works That Cite This (27)

Action Title Year Authors
+ Bias‐reduced and separation‐proof GEE with small or sparse longitudinal binary data 2019 Momenul Haque Mondol
Mohammad Shafiqur Rahman
+ PDF Chat An Investigation of Penalization and Data Augmentation to Improve Convergence of Generalized Estimating Equations for Clustered Binary Outcomes 2022 Angelika Geroldinger
Rok Blagus
Helen Ogden
Georg Heinze
+ A comparison of bias‐adjusted generalized estimating equations for sparse binary data in small‐sample longitudinal studies 2023 Masahiko Gosho
Ryota Ishii
Hisashi Noma
Kazushi Maruo
+ PDF Chat An investigation of penalization and data augmentation to improve convergence of generalized estimating equations for clustered binary outcomes 2022 Angelika Geroldinger
Rok Blagus
Helen Ogden
Georg Heinze
+ Applications of and Tools for Causal Inference 2017 Bradley Saul
+ PDF Chat Small sample inference for probabilistic index models 2017 Gustavo Amorim
Olivier Thas
Karel Vermeulen
Stijn Vansteelandt
Jan De Neve
+ Small‐sample inference for cluster‐based outcome‐dependent sampling schemes in resource‐limited settings: Investigating low birthweight in Rwanda 2021 Sara Sauer
Bethany Hedt‐Gauthier
Claudia Rivera‐Rodriguez
Sebastien Haneuse
+ Intra‐cluster correlation selection for cluster randomized trials 2016 Philip M. Westgate
+ Fitting marginal models in small samples: A simulation study of marginalized multilevel models and generalized estimating equations 2021 Ruofan Bie
Sebastien Haneuse
Nathan Huey
Jonathan S. Schildcrout
Glen McGee
+ Using generalized linear models to model compositional response data 2016 Fiona Sammut