Multi-state models for event history analysis

By Per Kragh Andersen, N. Keiding. Statistical Methods in Medical Research, 2002

632 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e373d8d726746f8cd1b22791d83fda6c9671fe00

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Citations in the corpus

• flexsurv: A Platform for Parametric Survival Modeling in R. (2016, methodology): “|θK), independent components for each transition k, the likelihood becomes the product of K independent transitionspecific likelihoods (Andersen and Keiding 2002). The full multi-state model can then be fitted by maximising each of these independently, using K separate calls to a survival modelling ”
• Tutorial in biostatistics: competing risks and multi‐state models (2007, unknown): “References [1, 8, 9].”