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Other titles in the Wiley Series in Probability & Mathematical Statistics series:
Applied Survival Analysis (Wiley Series in Probability & Mathematical Statistics)by Chap T. Le
Synopses & Reviews
Major, updated methods of survival data analysis in one concise volume Applied Survival Analysis provides the foundation for understanding various analytical procedures and the relationships among these different methods. The book is application-oriented yet also serves as a superb single-volume reference. It develops new areas of research, such as the analysis of clustered survival data, and presents cohort and case-control studies, including healthy worker effects and applications to receiver operating characteristic (ROC) curves. Written for graduate students in biostatistics, epidemiology, and environmental health, as well as for professional statisticians and biomedical researchers, Applied Survival Analysis:
* Features applied research areas, real-life examples with detailed descriptions, and exercises
* Provides equations, derivations, and proofs that require only simple algebra and elementary calculus
* Integrates a discussion on implementation in the form of algorithms and sample SAS commands
* Includes three appendices that contain real-life data sets on end-stage renal diseases and paired survival data, including a complete data set on ESRD patients on hemodialysis
Book News Annotation:
Provides the foundation for understanding various analytical procedures and the relationships among these different methods. Develops new areas of research, such as the analysis of clustered survival data, and presents cohort and case-control studies, including healthy worker effects and applications of receiver operating characteristic (ROC) curves. Graduate students in biostatistics, epidemiology, and environmental health, and professional statisticians and biomedical researchers will find real-life examples, simple equations and proofs, and three appendices containing data sets on end-stage renal diseases and paired survival data.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
This concise, application-oriented text is designed to meet the needs of practitioners and students in applied fields in its coverage of major, updated methods in the analysis of survival data. Includes analysis of standardized mortality ratios, methods for proving attenuation of healthy worker effects, ordinal risk factors and other new areas of research. Timely and diverse case studies are presented, plus a complete data set on ESRD patients on hemodialysis. Moderate level of mathematics required.
Introduces applied research areas and a number of real-life questions and examples with basic methods in nonparametric statistics, including the concept of censoring, which distinguishes survival analysis from other areas of statistics. Also includes methods for estimating the survival function, techniques for comparing survival distributions and the identification of prognostic and risk factors related to survival time.
About the Author
CHAP T. LE, PhD, is Professor and Director of Biostatistics at the University of Minnesota's Cancer Center and Otitis Media Research Center. Dr. Le's many works on biostatistics include Health and Numbers: Basic Biostatistical Methods (Wiley), coauthored with James R. Boen.
Table of Contents
Basic Concepts in Survival Analysis.
Estimation of Functions and Parameters.
Comparison of Survival Distributions.
Correlation and Regression Analyses.
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