Statistical Inference on Residual Life

  • Jong-Hyeon Jeong

Part of the Statistics for Biology and Health book series (SBH)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Jong-Hyeon Jeong
    Pages 1-18
  3. Jong-Hyeon Jeong
    Pages 19-26
  4. Jong-Hyeon Jeong
    Pages 27-76
  5. Jong-Hyeon Jeong
    Pages 77-117
  6. Jong-Hyeon Jeong
    Pages 119-139
  7. Jong-Hyeon Jeong
    Pages 141-149
  8. Back Matter
    Pages 151-201

About this book

Introduction

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.

Keywords

Biostatistics Clinical Trials Competing Risks Empirical Likelihood Mean (Quantile) Residual Life Mean Residual Life Reliability Theory Statistics Survival Analysis

Authors and affiliations

  • Jong-Hyeon Jeong
    • 1
  1. 1.Graduate School of Public HealthUniversity of PittsburghPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-0005-3
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4939-0004-6
  • Online ISBN 978-1-4939-0005-3
  • Series Print ISSN 1431-8776
  • Series Online ISSN 2197-5671
  • About this book