GEE for Multinomial Responses Using a Local Odds Ratios Parameterization

DOI10.1111/biom.12054zbMath1429.62327OpenAlexW1818705401WikidataQ46694493 ScholiaQ46694493MaRDI QIDQ2861949

Anestis Touloumis, Alan Agresti, Maria Kateri

Publication date: 13 November 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://cris.brighton.ac.uk/ws/files/380680/2013_Biometrics_GEE.pdf

zbMATH Keywords

generalized estimating equationslongitudinal data analysismultinomial responsesassociation modelslocal odds ratios

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Contingency tables (62H17)

Related Items (11)

Weighted scores estimating equations and CL1 information criteria for longitudinal ordinal response ⋮ GEE for longitudinal ordinal data: comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN ⋮ Penalized generalized estimating equations approach to longitudinal data with multinomial responses ⋮ Regression analysis of correlated ordinal data using orthogonalized residuals ⋮ Pretest and shrinkage estimation of the regression parameter vector of the marginal model with multinomial responses ⋮ Weighted least squares estimation for exchangeable binary data ⋮ Likelihood estimation for exchangeable multinomial data ⋮ A general GEE framework for the analysis of longitudinal ordinal missing data and related issues ⋮ Two Bayesian/frequentist challenges for categorical data analyses ⋮ The class of CUB models: statistical foundations, inferential issues and empirical evidence ⋮ Asymptotic properties of GEE estimator for clustered ordinal data with high-dimensional covariates

Uses Software

• geepack
• Fahrmeir

Cites Work

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