Semi-Markov Models for Multistate Data Analysis with Periodic Observations

DOI10.1081/STA-120028679zbMath1066.62096OpenAlexW2067149467MaRDI QIDQ3155273

Pai-Lien Chen, Hsiao-Chuan Tien

Publication date: 14 January 2005

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

Full work available at URL: https://doi.org/10.1081/sta-120028679

zbMATH Keywords

competing risksmultistate survival analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Markov processes: estimation; hidden Markov models (62M05) Estimation in survival analysis and censored data (62N02) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Related Items (1)

A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data

Cites Work

• Nonparametric estimation for semi-Markov processes based on its hazard rate functions
• Quality-Adjusted Survival Estimation with Periodic Observations
• The Analysis of Panel Data Under a Markov Assumption
• A Markov Model for Analysing Cancer Markers and Disease States in Survival Studies
• Semi-Markov models for partially censored data
• Discrete‐Time Nonparametric Estimation for Semi‐Markov Models of Chain‐of‐Events Data Subject to Interval Censoring and Truncation
• Statistical models based on counting processes

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