Managing nonignorable missing data with clustered multinomial responses

DOI10.1177/1471082X15573606MaRDI QIDQ4971436

Mu-Cyun Wang, I.-Feng Lin

Publication date: 12 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

missingmultinomialnonignorablebaseline-category logit modelclustered

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• An Application of Maximum Likelihood and Generalized Estimating Equations to the Analysis of Ordinal Data from a Longitudinal Study with Cases Missing at Random
• A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
• A Bayesian Approach for Clustered Longitudinal Ordinal Outcome With Nonignorable Missing Data

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