Modelling Survival Data in Medical Research

Well known for its nontechnical style, this popular survival analysis textbook presents modern statistical techniques for handling survival data. This edition contains new chapters on frailty models and their applications, competing risks, non-proportional hazards, and dependent censoring. It also describes techniques for modelling the occurrence of multiple events and event history analysis. Earlier chapters are now expanded to include new material on a number of topics, including measures of predictive ability and flexible parametric models. Many new data sets and examples illustrate how all these techniques are used in modelling survival data.