It also highlights the importance of incomplete or censored data and how that censoring may influence the selection of models and the interpretation of results. Click here for information. It is based on numerous courses given by Kleinbaum 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. 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. Click here for information.