Intended to meet the requirements for a single volume which covers methodologies appropriate for the analysis of survival data. Along with guidelines for the planning and design of clinical trials this expanded Second Edition offers a thorough discussion of population lifetables, real life examples, numerous exercises, computer programs for survival data analysis plus an updated reference list which includes a large number of recently published papers.
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The Third Edition of the leading reference on survival data analysis
The study of survival data attempts to predict the probability of response, survival, or mean lifetime; compare; the survival distributions of experimental animals or of human patients; and identify risk and/or prognosis factors. Statistical Methods for Survival Data Analysis, Third Edition examines the statistical methods for analyzing survival data from laboratory studies of animals, clinical and epidemiological studies of humans, and other appropriate applications.
Emphasizing applications over rigorous mathematics, this extremely useful reference provides thorough discussions of the most commonly used parametric and nonparametric methods in survival analysis, as well as guidelines for the planning and design of clinical trials. The authors give special consideration to the study of survival data in biomedical sciences, though the methods are suitable for applications in industrial reliability, the social sciences, and business.
This Third Edition brings this standard in the field up to date with new material and revised references including:
These additions and revisions make Statistical Methods for Survival Data Analysis, Third Edition, more valuable than ever as an essential reference for biomedical investigators, statisticians, epidemiologists, and researchers in other disciplines involved or interested in the analysis of survival data.About the Author:
ELISA T. LEE, PhD, is George Lynn Cross Research Professor of Biostatistics and Epidemiology and Director of the Center for American Indian Health Research at the University of Oklahoma Health Sciences Center. She received a master’s degree from the University of California at Berkeley and her doctorate from New York University. The author of the previous editions of Statistical Methods for Survival Data Analysis, Professor Lee is a Fellow of the American Statistical Association and member of the Society for Epidemiological Research and the American Diabetes Association.
JOHN WENYU WANG, PhD, is an Associate Professor of Biostatistics at the University of Oklahoma Health Sciences Center. He received a master’s degree from the Academy of Sciences of China and his doctorate from the University of Maryland.
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Book Description Wiley-Interscience, 1992. Hardcover. Book Condition: New. Ships Fast! Satisfaction Guaranteed!. Bookseller Inventory # mon0000582166
Book Description Wiley-Interscience, 1992. Hardcover. Book Condition: New. Never used!. Bookseller Inventory # P110471615927
Book Description Wiley-Interscience, 1992. Hardcover. Book Condition: New. 2. Bookseller Inventory # DADAX0471615927
Book Description Wiley-Interscience. Hardcover. Book Condition: New. 0471615927 New Condition. Bookseller Inventory # NEW7.1949215