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Applied survival analysis : regression modeling of time-to-event data

Author: David W Hosmer; Stanley Lemeshow; Susanne May
Publisher: Hoboken, N.J. : Wiley-Interscience, ©2008.
Series: Wiley series in probability and statistics.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
"Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to guide researchers, practitioners, and students who wish to apply these methods to  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: David W Hosmer; Stanley Lemeshow; Susanne May
ISBN: 9780471754992 0471754994
OCLC Number: 154798742
Description: xiii, 392 pages : illustrations ; 25 cm
Contents: Introduction to regression modeling of survival data --
Descriptive methods for survival data --
Regression models for survival data --
Interpretation of a fitted proportional hazards regression model --
Model development --
Assessment of model adequacy --
Extensions of the proportional hazards model --
Parametric regression models --
Other models and topics.
Series Title: Wiley series in probability and statistics.
Responsibility: David W. Hosmer, Stanley Lemeshow, Susanne May.
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Abstract:

This book fills this gap, providing a comprehensive, self-contained introduction to regression modeling used in the analysis of time-to-event data in epidemiological, biostatistical, and other  Read more...

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"The extensive and detailed coverage of the process of survival model fitting, as well as the applied exercises, make this textbook an excellent choice for an applied survival analysis course." ( Read more...

 
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    schema:reviewBody ""Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research." "Analyses throughout the text are performed using Stata Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a reference for practitioners and resarchers in any health-related field or for professionals in insurance and government."--Jacket." ;
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