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Survival Analysis

A Self-Learning Text
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781475725551
Veröffentl:
2013
Seiten:
324
Autor:
David G. Kleinbaum
Serie:
Statistics for Biology and Health
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

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. A "user-friendly" layout includes numerous illustrations and exercises and the book is written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets. Each chapter concludes with practice exercises to help readers reinforce their understanding of the concepts covered, before going on to a more comprehensive test. Answers to both are included. Readers will enjoy David Kleinbaums style of presentation, making this an excellent introduction for all those coming to the subject for the first time.
1 Introduction to Survival Analysis.- 2 Kaplan-Meier Survival Curves and the Log-Rank Test.- 3 The Cox Proportional Hazards Model and Its Characteristics.- 4 Evaluating the Proportional Hazards Assumption.- 5 The Stratified Cox Procedure.- 6 Extension of the Cox Proportional Hazards Model for Time-Dependent Variables.- Appendix A: Computer Programs for Survival Analysis.- Appendix B: Datasets.- Test Answers.- References.

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