Survivorship Analysis for Clinical Studies

by Eugene K. Harris, Adelin Albert

Overview

Written for clinicians and biostatisticians, describes nonparametric and quasiparametric (regression) methods of analyzing survivorship data in clinical studies, emphasizing the interpretation and reasoning behind the methods. Explains the established methods for summarizing the results of the major

Product Details

ISBN-13:	9781040295250
Publisher:	CRC Press
Publication date:	11/01/2024
Series:	Statistics: A Series of Textbooks and Monographs
Sold by:	Barnes & Noble
Format:	eBook
Pages:	222

About the Author

Eugene K. Harris, University of Virginia, Charlottesville, Virginia. Adelin Albert, University of Liege, Belgium.

Also Known As:

Eusebio Nuñez Flores

Table of Contents

Preface, 1 Estimation of Survival Probabilities 2 Standard Errors and Confidence Bands for Survival Rates and Curves 3 Nonparametric Methods for Comparison of Two or More Survival Curves 4 The Effects of Covariates on Survivorship: Proportional Hazards Models 5 Nonproportional Hazards 6 Survival Analysis with Time-Dependent Covariates 7 A Few Words on Computer Programs

Editorial Reviews

Written for clinicians and biostatisticians, describes nonparametric and quasiparametric (regression) methods of analyzing survivorship data in clinical studies, emphasizing the interpretation and reasoning behind the methods. Explains the established methods for summarizing the results of the majority of single-clinic survivorship studies, comparing two or more survival processes, and examining the effects of covariates on survival. Includes a diskette containing programs for computing confidence bands for survival curves. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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