A class of additive transformation models for recurrent gap times

DOI10.1080/03610926.2019.1594299OpenAlexW2932750748WikidataQ128107481 ScholiaQ128107481MaRDI QIDQ5077479

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Publication date: 18 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990084

zbMATH Keywords

latent variablegap timesrecurrent event datawithin-cluster resamplingadditive transformation model

Mathematics Subject Classification ID

Censored data models (62N01) Statistics (62-XX) Nonparametric statistical resampling methods (62G09) Estimation in survival analysis and censored data (62N02)

Cites Work

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• Regression methods for gap time hazard functions of sequentially ordered multivariate failure time data
• An Analysis of Comparative Carcinogenesis Experiments Based on Multiple Times to Tumor
• Nonparametric estimation of the gap time distribution for serial events with censored data
• Semiparametric analysis of the additive risk model
• Nonparametric Estimation of a Recurrent Survival Function
• Marginal Analysis of Correlated Failure Time Data with Informative Cluster Sizes

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