GEE for longitudinal ordinal data: comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN

DOI10.1016/j.csda.2014.03.009zbMath1506.62139OpenAlexW2001508624MaRDI QIDQ1623578

Nazanin Nooraee, Geert Molenberghs, Edwin R. van den Heuvel

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://pure.rug.nl/ws/files/17588929/Title_and_contents_.pdf

zbMATH Keywords

copulageneralized estimating equationsmultivariate logistic distributionbridge distributioncorrelated ordinal data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items

Weighted scores estimating equations and CL1 information criteria for longitudinal ordinal response ⋮ An R package for model fitting, model selection and the simulation for longitudinal data with dropout missingness ⋮ Joint GEEs for multivariate correlated data with incomplete binary outcomes ⋮ A general GEE framework for the analysis of longitudinal ordinal missing data and related issues ⋮ An approximate marginal logistic distribution for the analysis of longitudinal ordinal data

Uses Software

• SPSS
• SAS
• geepack
• repolr
• copula
• gee
• PROC GENMOD
• copula
• multgee

Cites Work

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