Presents the most up-to-date modelling techniques in survival data analysisInterprets results derived from SAS, the most widely used software package in the fieldKeeps mathematical detail to a minimumProvides clear, step-by-step guidelines for using the methods discussedDemonstrates the techniques using practical examples drawn from applications in the medical and pharmaceutical sciences Survival analysis is an active field and many advances, particularly in software, have emerged over the last eight years. Modelling Survival Data in Medical Research, Second Edition updates and expands on the highly successful first edition, which was praised for its clarity, content, and broad-based accessibility. This edition presents the most current and useful modelling techniques in survival data analysis, including recent developments in model checking, parametric models, time-dependent variables,and interval censored data. For this edition, the author has focused the software sections on SAS-the software of choice in medical and bio-statistics. The text includes numerous practical examples drawn from applications in the medical and pharmaceutical sciences.