Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science)

Language: English

Published by Taylor & Francis Ltd, United Kingdom, 1993

0412448904 / 9780412448904

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Softcover

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Data collected on the time to an event-such as the death of a patient in a medical study-is known as survival data. The methods for analyzing survival data can also be used to analyze data on the time to events such as the recurrence of a disease or relief from symptoms. Modelling Survival Data in Medical Research begins with an introduction to survival analysis and a description of four studies in which survival data was obtained. These and other data sets are then used to illustrate the techniques presented in the following chapters, including the Cox and Weibull proportional hazards models; accelerated failure time models; models with time-dependent variables; interval-censored survival data; model checking; and use of statistical packages. Designed for statisticians in the pharmaceutical industry and medical research institutes, and for numerate scientists and clinicians analyzing their own data sets, this book also meets the need for an intermediate text which emphasizes the application of the methodology to survival data arising from medical studies. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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Title
Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science)
Author
David Collett (NHS Blood and Transplant, UK)
Publisher
Taylor & Francis Ltd, United Kingdom
Publication year
1993
Condition
Very Good
Binding
Paperback
Language
English
ISBN 10
0412448904
ISBN 13
9780412448904
Item weight
499 grams
Dimensions
156 x 235

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