An estimator of the survival function based on the semi-Markov model under dependent censor\-ship

DOI10.1007/S10985-004-0383-YzbMath1080.62072OpenAlexW2021483856WikidataQ81817992 ScholiaQ81817992MaRDI QIDQ2575267

Seung-Yeoun Lee, Wei-Yann Tsai

Publication date: 8 December 2005

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

Full work available at URL: https://doi.org/10.1007/s10985-004-0383-y

zbMATH Keywords

consistencysemi-Markov modelindependent censoringsurvival distributionloss to follow-up

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Related Items (2)

Estimating the survival function based on the semi-Markov model for dependent censoring ⋮ Saddlepoint approximation for semi-Markov processes with application to a cardiovascular randomised study

Cites Work

• Unnamed Item
• A large sample study of the life table and product limit estimates under random censorship
• A nonidentifiability aspect of the problem of competing risks.
• Models for censored survival analysis: A cone class of variable-sum models
• Semi-Markov models for partially censored data
• A Simple Test for Independent Censoring under the Proportional Hazards Model
• Some test statistics for use in multistate survival analysis

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