An R package for model fitting, model selection and the simulation for longitudinal data with dropout missingness

DOI10.1080/03610918.2018.1468457OpenAlexW2897080103WikidataQ94452725 ScholiaQ94452725MaRDI QIDQ5087553

Yuan Xue, Zheng Li, Cong Xu, Ming Wang, Li-jun Zhang

Publication date: 1 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc7188076

zbMATH Keywords

Rmodel selectiongeneralized estimating equationsmissing at randomquasi-likelihoodinverse probability weightdropout missingness

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer's clinical trial

Uses Software

• R
• SPSS
• robust
• SAS
• geepack
• repolr
• MICE
• PROC GENMOD
• PoisNor
• multgee
• PMM
• CRTgeeDR
• wgeesel

Cites Work

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• Longitudinal data analysis using generalized linear models
• Missing data methods in longitudinal studies: a review
• GEE for longitudinal ordinal data: comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN
• Model selection in the weighted generalized estimating equations for longitudinal data with dropout
• Model selection of generalized estimating equations with multiply imputed longitudinal data
• Multiple Imputation Approaches for the Analysis of Dichotomized Responses in Longitudinal Studies with Missing Data
• Akaike's Information Criterion in Generalized Estimating Equations
• Doubly Robust Estimates for Binary Longitudinal Data Analysis with Missing Response and Missing Covariates
• Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data
• Inference and missing data
• Large-sample theory for parametric multiple imputation procedures
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
• On the use of a working correlation matrix in using generalised linear models for repeated measures
• Model Selection for Generalized Estimating Equations Accommodating Dropout Missingness
• PoisNor: An R package for generation of multivariate data with Poisson and normal marginals
• Accounting for interactions and complex inter‐subject dependency in estimating treatment effect in cluster‐randomized trials with missing outcomes
• Selection of Working Correlation Structure and Best Model in GEE Analyses of Longitudinal Data
• Some Comments on C P
• Longitudinal Data Analysis
• A new look at the statistical model identification

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