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 | | Modelling Survival Data in Medical Research, Second Edition by David Collett ISBN-10: 9781584883258 ISBN-10: 1-58488-325-1 ISBN-13: 9781584883258 ISBN-13: 978-1-58488-325-8 Paperback 2003-03-28 Chapman and Hall/CRC Find Lowest Price |
Editorials | ||
Product 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. 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. | ||
Reviews | ||
Best non-technical introduction to survival analysis I highly recommend this book to those interested in applications of lifetime data. It is probably the best non-technical introduction to survival analysis available. The book provides a good survey of topics and model diagnostics for survival analysis with just enough technical detail. This book is especially useful for model diagnostics. I know of no other book that approaches the quality of this book with respect to model diagnostics for survival models. | ||
useful not only include the basic ideal about the survival analysis but also the concept about the sample size needed for trail design | ||
Good introduction A well-written introductory book. Broad range of material make it a good reference for new comers in survival analysis. | ||