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Wiley2014,Statistical Methods for Survival Data Analysis , 4th Edition pdf

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  • TA的每日心情
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    2016-3-19 06:18
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    [LV.4]偶尔看看III

    发表于 2014-9-25 01:29:34 | 显示全部楼层 |阅读模式
    1118095022.01.S001.LXXXXXXX.jpg
    Praise for the Third Edition

    “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” —Statistics in Medical Research

    Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences.

    Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes:

    Marginal and random effect models for analyzing correlated censored or uncensored data
    Multiple types of two-sample and K-sample comparison analysis
    Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models
    Expanded coverage of the Cox proportional hazards model
    Exercises at the end of each chapter to deepen knowledge of the presented material
    Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.


    Hardcover: 512 pages
    Publisher: Wiley; 4 edition (October 7, 2013)
    Language: English
    ISBN-10: 1118095022
    ISBN-13: 978-1118095027


    From the Back Cover
    Praise for the Third Edition

    ". . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject." —Statistics in Medical Research

    Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences.

    Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes:

    Marginal and random effect models for analyzing correlated censored or uncensored data
    Multiple types of two-sample and K-sample comparison analysis
    Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models
    Expanded coverage of the Cox proportional hazards model
    Exercises at the end of each chapter to deepen knowledge of the presented material
    Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.

    About the Author
    ELISA T. LEE, PhD, is Regents Professor and George Lynn Cross Research Professor of Biostatistics and Epidemiology and Director of the Center for American Indian Health Research at the University of Oklahoma Health Sciences Center.

    JOHN Wenyu WANG, PhD, is Professor of Research at the Center for American Indian Health Research at the University of Oklahoma Health Sciences Center.

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  • TA的每日心情
    郁闷
    2016-2-13 22:57
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    [LV.5]常住居民I

    发表于 2014-9-25 20:37:16 | 显示全部楼层
    Am I blind at the moment?  I don't see any download link.
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  • TA的每日心情
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    2016-3-19 06:18
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    [LV.4]偶尔看看III

     楼主| 发表于 2014-9-25 20:56:16 | 显示全部楼层
    jerry780 发表于 2014-9-25 20:37
    Am I blind at the moment?  I don't see any download link.

    See http://s.taobao.com/search?initi ... vival+Data+Analysis
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