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Statistical Methods for Survival Data Analysis, Fourth Edition Hardback - 2013 - 4th Edition
by Lee, Elisa T./ Wang, John Wenyu
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- Hardback
A$373.37
A$28.66
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Details
- Title Statistical Methods for Survival Data Analysis, Fourth Edition
- Author Lee, Elisa T./ Wang, John Wenyu
- Binding Hardback
- Edition number 4th
- Edition 4
- Condition New
- Pages 512
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons Inc
- Publication date 2013
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # x-1118095022
- ISBN 9781118095027 / 1118095022
- Weight 1.76 lbs (0.80 kg)
- Dimensions 9.3 x 6.1 x 1.2 in (23.62 x 15.49 x 3.05 cm)
- Category Mathematics
- Library of Congress subjects Medicine - Research - Statistical methods, Failure time data analysis
- Library of Congress Catalogue Number 2013009388
- Dewey Decimal Code 610.727
- Quantity available 2
About Revaluation Books Devon, United Kingdom
Biblio member since 2020
General bookseller of both fiction and non-fiction.
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From the publisher
From the rear cover
Praise for the Third Edition
". . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject." --Statistics in Medical Research
Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences.
Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes:
- Marginal and random effect models for analyzing correlated censored or uncensored data
- Multiple types of two-sample and K-sample comparison analysis
- Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models
- Expanded coverage of the Cox proportional hazards model
- Exercises at the end of each chapter to deepen knowledge of the presented material
Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.
