Multi-state models for event history analysis

2002/04/01 by Per Kragh Andersen, Niels Keiding · 1 citation

paper · doi:10.1191/0962280202sm276ra

Abstract

An introduction to event history analysis via multi-state models is 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.

Cited by

• A General Framework for Joint Multi-State Models

Related

• Multi-state models for the analysis of time-to-event data
• Assessing and relaxing the Markov assumption in the illness-death model
• Reflection on modern methods: competing risks versus multi-state models
• Tutorial in biostatistics: competing risks and multi‐state models
• Integrating relative survival in multi-state models -- a non-parametric approach