Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range of examples from biomedical research Well known for its nontechnical style this third edition contains new chapters on frailty models & their applications competing risks non-proportional hazards & dependent censoring It also describes techniques for modelling the occurrence of multiple events & event history analysis Earlier chapters are now expanded to include new material on a number of topics including measures of predictive ability & flexible parametric models Many new data sets & examples are included to illustrate how these techniques are used in modelling survival data Bibliographic notes & suggestions for further reading are provided at the end of each chapter Additional data sets to obtain a fuller appreciation of the methodology or to be used as student exercises are provided in the appendix All data sets used in this book are also available in electronic format online This book is an invaluable resource for statisticians in the pharmaceutical industry professionals in medical research institutes scientists & clinicians who are analyzing their own data & students taking undergraduate or postgraduate courses in survival analysis