Statistics for Biology and Health

Statistical Inference on Residual Life

Authors: Jeong, Jong-Hyeon

  • Extensively reviews statistical inference methods on  the mean residual lifetime
  • Covers various aspects of frequentist and Bayesian methods for the quantile residual life function in survival analysis and reliability theory
  • Presents new statistical methods to design based on the residual life distribution
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  • ISBN 978-1-4939-0005-3
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Hardcover $109.00
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  • ISBN 978-1-4939-0004-6
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Softcover $109.00
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  • ISBN 978-1-4939-4253-4
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About this book

This is a monograph on the concept of residual life, which is an alternative summary measure of time-to-event data, or survival data. The mean residual life has been used for many years under the name of life expectancy, so it is a natural concept for summarizing survival or reliability data. It is also more interpretable than the popular hazard function, especially for communications between patients and physicians regarding the efficacy of a new drug in the medical field. This book reviews existing statistical methods to infer the residual life distribution. The review and comparison includes existing inference methods for mean and median, or quantile, residual life analysis through medical data examples. The concept of the residual life is also extended to competing risks analysis. The targeted audience includes biostatisticians, graduate students, and PhD (bio)statisticians. Knowledge in survival analysis at an introductory graduate level is advisable prior to reading this book.

About the authors

Dr. Jong-Hyeon Jeong is a full professor of Biostatistics at the University of Pittsburgh. Dr. Jeong's main research area has been survival analysis and clinical trials. In survival analysis, he has worked on frailty modeling, efficiency of survival probability estimates from the proportional hazards model, weighted log-rank test, competing risks, quantile residual life, and likelihood theory such as empirical likelihood and hierarchical likelihood. In clinical trials, he has been involved in several phase III clinical trials on breast cancer treatment as the primary statistician. He has been teaching statistical theory courses and survival analysis in the Department of Biostatistics at the University of Pittsburgh. Dr. Jeong holds his PhD degree in statistics from the University of Rochester and has been an elected member of the International Statistical Institute (ISI) since 2007.

Reviews

“It is the very first book in its kind that is entirely devoted to the statistical methodologies aimed to analyze residual life and related quantities. … would be a must-have item for researchers who are interested in learning statistical theory on the quantile residual life functions. … would be a valuable asset to those who work on survival analysis. It would be beneficial to a wide group of audience who are interested in the analysis of quantile residual functions.” (Sangwook Kang, Journal of Agricultural, Biological, and Environmental Statistics, Vol. 20, 2015)

“This book on the statistical analysis of life expectancy focuses on history, research achievements, and recent developments in statistical inference on quantile residual lifetime. … The intended audience includes graduate students and researchers both in academia and in industry who are interested in learning the theory and application of the residual life function. … This book is strongly recommended to beginning researchers and statistician who are interested in learning the theory and application of the residual life function.” (Samit Bhatheja, Doody’s Book Reviews, May, 2014)

Table of contents (6 chapters)

  • Introduction

    Jeong, Jong-Hyeon

    Pages 1-18

  • Inference on Mean Residual Life-Overview

    Jeong, Jong-Hyeon

    Pages 19-26

  • Quantile Residual Life

    Jeong, Jong-Hyeon

    Pages 27-76

  • Quantile Residual Life Under Competing Risks

    Jeong, Jong-Hyeon

    Pages 77-117

  • Other Methods for Inference on Quantiles

    Jeong, Jong-Hyeon

    Pages 119-139

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-4939-0005-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4939-0004-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-4939-4253-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Inference on Residual Life
Authors
Series Title
Statistics for Biology and Health
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4939-0005-3
DOI
10.1007/978-1-4939-0005-3
Hardcover ISBN
978-1-4939-0004-6
Softcover ISBN
978-1-4939-4253-4
Series ISSN
1431-8776
Edition Number
1
Number of Pages
XI, 201
Number of Illustrations and Tables
5 b/w illustrations, 12 illustrations in colour
Topics