Regression analysis of clustered failure time data with informative cluster size under the additive transformation models

DOI10.1007/S10985-016-9384-XzbMath1468.62376OpenAlexW2538567385WikidataQ31137954 ScholiaQ31137954MaRDI QIDQ1641907

Y. Aharonov

Publication date: 20 June 2018

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

Full work available at URL: https://doi.org/10.1007/s10985-016-9384-x

zbMATH Keywords

informative cluster sizeweighted estimating equationwithin-cluster resamplingadditive transformation model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes (62M99) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (4)

Semiparametric regression of clustered current status data ⋮ An additive hazards frailty model with semi-varying coefficients ⋮ Regression analysis of clustered interval-censored failure time data with linear transformation models in the presence of informative cluster size ⋮ An additive hazards model for clustered recurrent gap times

Cites Work

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• Additive transformation models for clustered failure time data
• Inconsistency of the misspecified proportional hazards model
• Within-cluster resampling
• A Bayesian Approach for Joint Modeling of Cluster Size and Subunit-Specific Outcomes
• Additive hazards model with multivariate failure time data
• Incorporating Correlation for Multivariate Failure Time Data When Cluster Size Is Large
• Semiparametric analysis of the additive risk model
• Estimating equations for hazard ratio parameters based on correlated failure time data
• Marginal Analysis of Correlated Failure Time Data with Informative Cluster Sizes

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