Modelling Survival Data in Medical Research

ISBN-10: 1584883251

ISBN-13: 9781584883258

Edition: 2nd 2003 (Revised)

Authors: David Collett
List price: $92.95
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Description: Critically acclaimed and resoundingly popular in its first edition, Modelling Survival Data in Medical Research has 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.All of the data sets used in the book are available for download from www.crcpress.com/e_products/downloads. Profusely illustrated with examples and written in the author's trademark, easy-to-follow style, Modelling Survival Data in Medical Research, Second Edition is a thorough, practical guide to survival analysis that reflects current statistical practices.

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Book details

List price: $92.95
Edition: 2nd
Copyright year: 2003
Publisher: CRC Press LLC
Publication date: 3/28/2003
Binding: Paperback
Pages: 410
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 1.518
Language: English

Preface to the second edition
Preface to the first edition
Survival analysis
Some non-parametric procedures
Modelling survival data
Model checking in the Cox regression model
Parametric proportional hazards models
Accelerated failure time and other parametric models
Model checking in parametric models
Time-dependent variables
Interval-censored survival data
Sample size requirements for a survival study
Some additional topics
Computer software for survival analysis
Maximum likelihood estimation
Likelihood function for randomly censored data
Standard error of percentiles
Additional data sets
References
Index of examples
Index
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