Statistical Methods for Survival Data Analysis (Wiley Series in Probability and Statistics) - Hardcover

Lee, Elisa T.

Hardcover

ISBN 10: 0471615927 ISBN 13: 9780471615927

Publisher: Wiley–Blackwell, 1992

Synopsis

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.

About this title

Review

" an easy–to read introduction to survival analysis which covers the major concepts and techniques of the subject." ( Statistics in Medical Research, October 2005)

"The book is well written and provides explicit details of the models and methods used." (Journal of the American Statistical Association, June 2004)

" contains thorough descriptions and illustrations of several useful nonparametric and parametric statistical methods to analyze survival data." (Journal of Statistical Computation & Simulation, May 2004) 

"...a comprehensive and clearly written textbook...a very good reference..." (Short Book Reviews, Vol 24(1), 2004)

"...continues to be application–oriented with a minimum level of mathematics..." (Zentralblatt Math, Vol 1026, 2004)

"This third edition is a significant upgrade...this remains an excellent choice or a basic textbook in survival analysis..." (Technometrics, Vol. 45, No. 4, November 2003)

" an easy–to read introduction to survival analysis which covers the major concepts and techniques of the subject." ( Statistics in Medical Research, October 2005)

"The book is well written and provides explicit details of the models and methods used." (Journal of the American Statistical Association, June 2004)

" contains thorough descriptions and illustrations of several useful nonparametric and parametric statistical methods to analyze survival data." (Journal of Statistical Computation & Simulation, May 2004)

"...a comprehensive and clearly written textbook...a very good reference..." (Short Book Reviews, Vol 24(1), 2004)

"...continues to be application–oriented with a minimum level of mathematics..." (Zentralblatt Math, Vol 1026, 2004)

"This third edition is a significant upgrade...this remains an excellent choice or a basic textbook in survival analysis..." (Technometrics, Vol. 45, No. 4, November 2003)

From the Back Cover

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:

• A new introduction to left and interval censored data
• The generalized gamma and log–logistic distribution
• Estimation procedures for left and interval censored data
• Parametric models with covariates
• Cox’s proportional hazards model including stratification and time–dependent covariates, and some non–proportional hazards models
• Goodness–of–Fit tests and model selection methods
• Multiple responses to the logistic regression model
• Numerous real–life examples which illustrate key concepts
• Computer programming codes in SAS, BMDP, and SPSS for most examples
• Related FTP site providing large data sets

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.

Edition details

• Publisher: Wiley–Blackwell
• Publication date: 1992
• ISBN 10: 0471615927
• ISBN 13: 9780471615927
• Binding: Hardcover
• Language: English
• Edition number: 2
• Number of pages: 496