Modelling survival data in medical research /

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Bibliographic Details
Author / Creator:Collett, D., 1952-
Edition:Second Edition.
Imprint:Boca Raton, Fla. : Chapman & Hall/CRC, ©2003.
Description:391 pages : illustrations ; 24 cm
Language:English
Series:Chapman & Hall/CRC texts in statistical science series
Texts in statistical science.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4864395
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ISBN:1584883251
9781584883258
Notes:Includes bibliographical references (pages 371-381) and indexes.
Summary:Provides an outstanding text for upper-level and graduate courses in survival analysis, biostatistics, and time-to-event analysis. This edition features a more detailed treatment of topics such as parametric models, accelerated failure time models, and the analysis of interval-censored data. The author also focuses the software section on the use of SAS, summarising the methods used by the software to generate its output and examining that output in detail.
Description
Summary:

Critically acclaimed and resoundingly popular in its first edition, Modelling Survival Data in Medical Researchhas been thoroughly revised and updated to reflect the many developments and advances--particularly in software--made in the field over the last 10 years. Now, more than ever, it provides an outstanding text for upper-level and graduate courses in survival analysis, biostatistics, and time-to-event analysis.The treatment begins with an introduction to survival analysis and a description of four studies that lead to survival data. Subsequent chapters then use those data sets and others to illustrate the various analytical techniques applicable to such data, including the Cox regression model, the Weibull proportional hazards model, and others. This edition features a more detailed treatment of topics such as parametric models, accelerated failure time models, and analysis of interval-censored data. The author also focuses the software section on the use of SAS, summarising the methods used by the software to generate its output and examining that output in detail. Profusely illustrated with examples and written in the author's trademark, easy-to-follow style, Modelling Survival Data in Medical Research, Second Editionis a thorough, practical guide to survival analysis that reflects current statistical practices.

Physical Description:391 pages : illustrations ; 24 cm
Bibliography:Includes bibliographical references (pages 371-381) and indexes.
ISBN:1584883251
9781584883258