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PubMed · 12040698

Multi-state models for event history analysis.

Per Kragh Andersen·Niels Keiding
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Abstract

An introduction to event history analysis via multi-state models in given. Examples include the two-state model for survival analysis, the competing risks and illness-death models, and models for bone marrow transplantation. Statistical model specification via transition intensities and likelihood inference is introduced. Consequences of observational patterns are discussed, and a real example concerning mortality and bleeding episodes in a liver cirrhosis trial is discussed.

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BiometryBone Marrow TransplantationCohort StudiesDeathHumansLife Change EventsLikelihood FunctionsMarkov ChainsModels, BiologicalProportional Hazards ModelsRegression AnalysisRiskSoftwareSurvival AnalysisJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.Review

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Per Kragh Andersen, Niels Keiding. 2002. Multi-state models for event history analysis.. https://doi.org/10.1191/0962280202sm276ra

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