Fitting marginal accelerated failure time models to clustered survival data with potentially informative cluster size

DOI10.1016/j.csda.2011.06.015zbMath1271.62231OpenAlexW2027932033MaRDI QIDQ1942906

Jie Fan, Somnath Datta

Publication date: 14 March 2013

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

Full work available at URL: https://doi.org/10.1016/j.csda.2011.06.015

zbMATH Keywords

clustered dataregressionmarginal modelsfailure timesnon-ignorable cluster size

Mathematics Subject Classification ID

Reliability and life testing (62N05)

Related Items (3)

Special issue on advances in survival analysis ⋮ On Mann-Whitney tests for comparing sojourn time distributions when the transition times are right censored ⋮ Non‐parametric regression in clustered multistate current status data with informative cluster size

Cites Work

• Unnamed Item
• Marginal Analyses of Clustered Data When Cluster Size Is Informative
• Estimating the mean life time using right censored data
• Regression analysis with randomly right-censored data
• Regression analysis of clustered interval-censored failure time data with informative cluster size
• Within-cluster resampling
• Marginal Regression Models for Multivariate Failure Time Data
• The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average
• Marginal Analysis of Correlated Failure Time Data with Informative Cluster Sizes
• Estimating the marginal survival function in the presence of time dependent covariates

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