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Lee, Elisa T.

Statistical Methods for Survival Data Analysis

Lee, Elisa T. - Statistical Methods for Survival Data Analysis, ebook

129,45€

Ebook, ePUB with Adobe DRM
ISBN: 9781118593059
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Printing154 pages with an additional page accrued every 5 hours, capped at 154 pages
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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.

Keywords: Applied Probability & Statistics - Survival Analysis, statistical methods, statistics, survival data analysis, reliability research, business, epidemiology, social science, behavioral science, parametric methods, nonparametric methods, Cox proportional hazards model, health science, biomedical research, accelerated failure time models

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2013
Language
en
Edition
4
Series
Wiley Series in Probability and Statistics
Page amount
512 pages
Category
Medicine, Health Care, Mode
Format
Ebook
eISBN (ePUB)
9781118593059
Printed ISBN
9781118095027

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