Modelling Survival Data in Medical Research, Second Edition

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CRC Press, Mar 28, 2003 - Mathematics - 410 pages
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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. 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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Contents

Chapter 1 Survival analysis
1
Chapter 2 Some nonparametric procedures
15
Chapter 3 Modelling survival data
54
Chapter 4 Model checking in the Cox regression model
109
Chapter 5 Parametric proportional hazards models
148
Chapter 6 Accelerated failure time and other parametric models
193
Chapter 7 Model checking in parametric models
233
Chapter 8 Timedependent variables
252
Chapter 11 Some additional topics
314
Chapter 12 Computer software for survival analysis
331
Maximum likelihood estimation
353
Likelihood function for randomly censored data
358
Standard error of percentiles
360
Additional data sets
365
References
374
Index of examples
387

Chapter 9 Intervalcensored survival data
273
Chapter 10 Sample size requirements for a survival study
299

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