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Handbook of Survival Analysis

2016-04-19 Mathematics
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Release : 2016-04-19
Genre : Mathematics
Kind : eBook
Book Rating : 67X/5 ( reviews)

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Book Synopsis Handbook of Survival Analysis by : John P. Klein

Download or read book Handbook of Survival Analysis written by John P. Klein. This book was released on 2016-04-19. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides: An introduction to various areas in survival analysis for graduate students and novices A reference to modern investigations into survival analysis for more established researchers A text or supplement for a second or advanced course in survival analysis A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians

Survival Analysis

2011-01-25 Mathematics
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Release : 2011-01-25
Genre : Mathematics
Kind : eBook
Book Rating : 067/5 ( reviews)

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Book Synopsis Survival Analysis by : Rupert G. Miller, Jr.

Download or read book Survival Analysis written by Rupert G. Miller, Jr.. This book was released on 2011-01-25. Available in PDF, EPUB and Kindle. Book excerpt: A concise summary of the statistical methods used in the analysis of survival data with censoring. Emphasizes recently developed nonparametric techniques. Outlines methods in detail and illustrates them with actual data. Discusses the theory behind each method. Includes numerous worked problems and numerical exercises.

Analysis of Survival Data

2018-02-19 Mathematics
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Release : 2018-02-19
Genre : Mathematics
Kind : eBook
Book Rating : 607/5 ( reviews)

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Book Synopsis Analysis of Survival Data by : D.R. Cox

Download or read book Analysis of Survival Data written by D.R. Cox. This book was released on 2018-02-19. Available in PDF, EPUB and Kindle. Book excerpt: This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis is not confined to medical statistics, where the benefit of the analysis of data on such factors as life expectancy and duration of periods of freedom from symptoms of a disease as related to a treatment applied individual histories and so on, is obvious. The techniques also find important applications in industrial life testing and a range of subjects from physics to econometrics. In the eleven chapters of the book the methods and applications of are discussed and illustrated by examples.

Advances in Survival Analysis

2004
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Release : 2004
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Advances in Survival Analysis by : Narayanaswamy Balakrishnan

Download or read book Advances in Survival Analysis written by Narayanaswamy Balakrishnan. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:

Survival Analysis

2005 Mathematics
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Release : 2005
Genre : Mathematics
Kind : eBook
Book Rating : 187/5 ( reviews)

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Book Synopsis Survival Analysis by : David G. Kleinbaum

Download or read book Survival Analysis written by David G. Kleinbaum. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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