A multiple imputation approach to linear regression with clustered censored data

DOI10.1023/A:1011334721264zbMath1009.62053WikidataQ30656588 ScholiaQ30656588MaRDI QIDQ5951895

Wei Pan, John E. Connett

Publication date: 5 May 2003

Published in: Lifetime Data Analysis (Search for Journal in Brave)

zbMATH Keywords

generalized least squaresasymptotic normal data augmentationBuckley-James methodGEEmixed-effects modelPoor Man's data augmentation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05)

Related Items (4)

The semiparametric accelerated trend-renewal process for recurrent event data ⋮ Multiple imputation of censored survival data in the presence of missing covariates using restricted mean survival time ⋮ Joint Model of Clustered Failure Time Data with Informative Cluster Size ⋮ An overview of methods for interval-censored data with an emphasis on applications in dentistry

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