Survival analysis in medicine and genetics / Jialiang Li, Shuangge Ma.

By: Li, Jialiang, 1981-Contributor(s): Ma, Shuangge, 1978-Material type: Text

TextLanguage: English Series: Chapman & Hall/CRC biostatistics seriesPublication details: Boca Raton : CRC Press, 2013 Description: xvii, 363 p. : iill. ; 25 cmISBN: 9781439893111 (hardback); 143989311XSubject(s): Survival analysis (Biometry) | Medical statistics | Medicine -- Research -- Statistical methodsDDC classification: 610.727 LOC classification: R853.S7 | .L53 2013Online resources: WorldCat details | E-book Fulltext

Contents:

TOC Introduction : Examples and basic principles -- Analysis trilogy : estimation, test, and regression -- Analysis of interval censored data -- Special modeling methodology -- Diagnostic medicine for survival analysis -- Survival analysis with high-dimensional covariates.

Summary: "Preface In modern medicine, knowledge on human lifetime and what shortens it has been gradually accumulated over years of tremendous numeric studies. All quantitative products in those studies are well supported by a system of statistical tools, namely survival analysis. This book is speci cally devoted to this important category of statistical methods. There already exist quite a number of well-written, widely used introductory texts on this subject. The rst two chapters of this book may serve a similar function and provide some basic textbook-type materials for a third or fourth year undergraduate module or a graduate module in statistics or biostatistics. Comparing to other texts, we do not repeat basic principles of regression analysis and mainly focus on the special concerns on survival model. We intend to cover almost all fundamental materials while con ning us to simple notations and plain language everywhere in these two chapters. The counting process theory is only appended in the second chapter for the sake of completeness and may entertain students who like theories. According to authors' experience, the materials in these two chapters are usually sufficient for a one-semester module at the level indicated above. Another piece that can be easily incorporated in the syllabus of this module is the rst section of chapter 5 where elementary diagnostic medicine approaches are discussed"--

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	610.727 LIS 2013 (Browse shelf(Opens below))		Not for loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	610.727 LIS 2013 (Browse shelf(Opens below))	C-1	Not For Loan	27414
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	610.727 LIS 2013 (Browse shelf(Opens below))	C-2	Available	28176

Total holds: 0

Includes bibliographical references (pages 327-360) and index.

TOC Introduction : Examples and basic principles --
Analysis trilogy : estimation, test, and regression --
Analysis of interval censored data --
Special modeling methodology --
Diagnostic medicine for survival analysis --
Survival analysis with high-dimensional covariates.

"Preface In modern medicine, knowledge on human lifetime and what shortens it has been gradually accumulated over years of tremendous numeric studies. All quantitative products in those studies are well supported by a system of statistical tools, namely survival analysis. This book is speci cally devoted to this important category of statistical methods. There already exist quite a number of well-written, widely used introductory texts on this subject. The rst two chapters of this book may serve a similar function and provide some basic textbook-type materials for a third or fourth year undergraduate module or a graduate module in statistics or biostatistics. Comparing to other texts, we do not repeat basic principles of regression analysis and mainly focus on the special concerns on survival model. We intend to cover almost all fundamental materials while con ning us to simple notations and plain language everywhere in these two chapters. The counting process theory is only appended in the second chapter for the sake of completeness and may entertain students who like theories. According to authors' experience, the materials in these two chapters are usually sufficient for a one-semester module at the level indicated above. Another piece that can be easily incorporated in the syllabus of this module is the rst section of chapter 5 where elementary diagnostic medicine approaches are discussed"--

Sagar Shahanawaz

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