Description
Springer Survival Analysis A Self-Learning Text 1997 Edition by David G. Kleinbaum Mitchell Klein
This text on survival analysis provides a straightforward and easy-to- follow introduction to the main concepts and techniques of the subject. It is based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. Throughout there is an emphasis on presenting each new topic motivated with real examples of a survival analysis investigation and then presenting thorough analyses of real data sets. Each chapter concludes with practice exercises to help readers reinforce their understanding of the concepts covered in the chapter. Readers can then extend their knowledge with a more thoroughgoing test. Answers to both are included. Beginning with the basic concepts of survival analysis-time to an event as a variable censored data and the hazard function-the author then introduces the Kaplan-Meier survival curves the log-rank test the Peto test and the most widely used technique in survival analysis the Cox proportional hazards model. Later chapters cover techniques for evaluating the proportional hazards assumptions the stratified Cox procedure and extending the Cox model to time- dependent variables.Readers will enjoy David Kleinbaum's style of presentation with numerous figures and diagrams illustrating each idea. As a result this text makes an excellent introduction for all those coming to the subject for the first time. Table of contents : Introduction to Survival Analysis*Kaplan-Meier Survival Curves and the Log-Rank Test*The Cox Proportional Hazards Model and Its Characteristics* Evaluating the Proportional Hazards Assumption*The Stratified Cox Procedure*Extension of the Cox Proportional Hazards Model for Time-Dependent Variables