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Statistical Methods for Survival Data Analysis, 4th Edition,Used
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Praise for the Third Edition. . . an easyto read introduction to survival analysis which covers the major concepts and techniques of the subject. Statistics in Medical ResearchUpdated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonlyused methods for analyzing survival data. Authored by a uniquely wellqualified 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 realworld 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 uptodate 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 twosample and Ksample 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 materialStatistical Methods for Survival Data Analysis is an ideal text for upperundergraduate and graduatelevel 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.
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- Q: What topics are covered in Statistical Methods for Survival Data Analysis, 4th Edition? A: The book covers major concepts and techniques in survival analysis, including marginal and random effect models, two-sample and K-sample comparison analysis, and parametric methods for regression model fitting, with a focus on accelerated failure time models.
- Q: Is this book suitable for beginners? A: Yes, Statistical Methods for Survival Data Analysis is designed as an easy-to-read introduction, making it suitable for upper-undergraduate and graduate-level courses.
- Q: Who are the authors of this book? A: The book is authored by Elisa T. Lee, who is well-qualified in the field of biostatistics and survival analysis.
- Q: What is the publication date of the 4th Edition? A: The 4th Edition was published on September 27, 2013.
- Q: Does this book include exercises for practice? A: Yes, there are exercises at the end of each chapter to help deepen the reader's understanding of the material presented.
- Q: What is the binding type of this book? A: Statistical Methods for Survival Data Analysis, 4th Edition is available in hardcover binding.
- Q: How many pages does the book have? A: The book contains a total of 516 pages.
- Q: Is this book useful for researchers in fields other than biostatistics? A: Yes, it is also a valuable resource for statisticians, epidemiologists, and researchers in various fields where the analysis of survival data is relevant.
- Q: What edition is this book? A: This is the 4th Edition of Statistical Methods for Survival Data Analysis.
- Q: What makes this edition different from the previous one? A: The 4th Edition has been updated and expanded to reflect the latest developments in survival analysis, including new software applications and methodologies.