Some observations on semi‐markov models for partially censored data

DOI10.2307/3314748zbMath0564.62027OpenAlexW2097887899MaRDI QIDQ3678475

David E. Matthews

Publication date: 1984

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3314748

zbMATH Keywords

censoringclinical triallikelihood functiontransition probabilitiesidentifiabilityobservational studymaximum-likelihood estimatorscause-specific hazard functionsestimation of sojourn-time distributionsestimators of the survivor functionstime- homogeneous semi-Markov process

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Related Items (1)

Estimation with right-censored observations under a semi-Markov model

Cites Work

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• Nonparametric Estimation from Incomplete Observations
• The Analysis of Failure Times in the Presence of Competing Risks
• Semi-Markov models for partially censored data

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