COMPETING RISKS

A competing risks analysis is performed when we want to quantify the occurrence of mutually exclusive event types over time. The classical example is mortality: in the end we all die, but not all at the same age and from the same cause. Competing risks immediately generalize to multi-state models that assume the Markov property. There is still a lot of confusion with respect to the quantities that can be estimated and their interpretation. This books explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results... 2) Competing Risks; Nonparametric Estimation. Theoretical relations. The multi-state approach and the subdistribution approach. The competing risks equivalents of the Kaplan-Meier and log-rank test... This is the website accompanying the book "Data Analysis with Competing Risks and Intermediate States" by..