Applied Survival Analysis by Chap T. Le (English) Paperback Book

Description: Applied Survival Analysis by Chap T. Le 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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 exercisesProvides equations, derivations, and proofs that require only simple algebra and elementary calculusIntegrates a discussion on implementation in the form of algorithms and sample SAS commandsIncludes 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 Flap 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 Author Biography CHAP T. LE, PhD, is Professor and Director of Biostatistics at the University of Minnesotas Cancer Center and Otitis Media Research Center. Dr. Les 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. Appendices. References. Index. Long Description 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 Feature Numerics discussion is integrated in the form of algorithms and sample SAS commands. Develops new areas of research, among them analysis of standardized mortality ratios, methods for proving attenuation of healthy worker effects, and ordial risk factors. Details ISBN0471170852 Author Chap T. Le Language English ISBN-10 0471170852 ISBN-13 9780471170853 Media Book Format Paperback DEWEY 610.72 Illustrations Yes Year 1997 Place of Publication New York Country of Publication United States Birth 1948 Edition 1st Pages 280 Residence MN, US Affiliation Cancer Center, Univ. of Minnesota Comprehensive Cancer Center, Univ. o Short Title APPLIED SURVIVAL ANALYSIS DOI 10.1604/9780471170853 Series Number 328 UK Release Date 1997-11-04 AU Release Date 1997-10-14 NZ Release Date 1997-10-14 Publisher John Wiley & Sons Inc Series Wiley Series in Probability and Statistics Publication Date 1997-11-04 Imprint Wiley-Interscience Audience Undergraduate US Release Date 1997-11-04 We've got this At The Nile, if you're looking for it, we've got it. 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