Statistical Methods for Survival Data Analysis, 4th Edition (Wiley Series in Probability and Statistics) Paperback - 2013 - 4th Edition
by Lee
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- Paperback
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Details
- Title Statistical Methods for Survival Data Analysis, 4th Edition (Wiley Series in Probability and Statistics)
- Author Lee
- Binding Paperback
- Edition number 4th
- Edition 4
- Condition New
- Pages 512
- Volumes 1
- Language ENG
- Publisher Wiley
- Publication date 2013-10-07
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # GOR014605702
- 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 3
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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.
