Modeling Survival Data: Extending the Cox Model

Author: Terry M. Therneau,Patricia M. Grambsch

Publisher: Springer Science & Business Media

ISBN: 1475732945

Category: Mathematics

Page: 350

View: 6918

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This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data sets.
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Bayesian Survival Analysis

Author: Joseph G. Ibrahim,Ming-Hui Chen,Debajyoti Sinha

Publisher: Springer Science & Business Media

ISBN: 1475734476

Category: Medical

Page: 480

View: 4964

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Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.
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Survival Analysis

A Self-Learning Text

Author: David G. Kleinbaum,Mitchel Klein

Publisher: Springer Science & Business Media

ISBN: 1475725558

Category: Medical

Page: 324

View: 5007

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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.
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BPR

Author: N.A

Publisher: N.A

ISBN: N.A

Category: American literature

Page: N.A

View: 4165

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AJRCCM

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Critical care medicine

Page: N.A

View: 2080

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