title: Multi-state models for event history analysis.
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.
authors.affiliation: Department of Biostatistics, University of Copenhagen, Danish Epidemiology Science Centre, Copenhagen, Denmark. pka@biostat.ku.dk
authors.forename: Per Kragh
authors.initials: PK
authors.lastname: Andersen
authors.forename: Niels
authors.initials: N
authors.lastname: Keiding
mesh_terms: D001699:Biometry; D016026:Bone Marrow Transplantation / Q000009:adverse effects / Q000706:statistics & numerical data; D015331:Cohort Studies; D003643:Death; D006801:Humans; D008016:Life Change Events; D016013:Likelihood Functions; D008390:Markov Chains; D008954:Models, Biological; D016016:Proportional Hazards Models; D012044:Regression Analysis; D012306:Risk; D012984:Software; D016019:Survival Analysis