Statistical Inference on Residual Life

Overview

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 ...

See more details below
Hardcover (2014)
$95.75
BN.com price
(Save 12%)$109.00 List Price
Other sellers (Hardcover)
  • All (9) from $79.94   
  • New (7) from $79.94   
  • Used (2) from $95.74   
Sending request ...

Overview

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.

Read More Show Less

Editorial Reviews

Doody's Review Service
Reviewer: Samit Bhatheja, MD, MPH (East Tennessee State University Quillen College of Medicine)
Description: This book on the statistical analysis of life expectancy focuses on history, research achievements, and recent developments in statistical inference on quantile residual lifetime.
Purpose: The purpose is to introduce the basic concepts needed to investigate the properties of the quantile (residual life) as well as provide an overview of statistical methods developed to infer the mean residual life. This book will help users in learning the theory and application of the quantile (residual life) function and provide future research directions.
Audience: 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. The author is an elected member of the International Statistical Institute and has research interests in survival analysis and clinical trials.
Features: The first of the book's chapters describes the basic concepts needed to investigate properties of residual life function, before focusing on the various statistical methods developed to infer the mean residual life function in chapter 2. Chapter 3 further describes methods which have been recently developed to infer the mean residual life. Chapter 4 further elaborates on the results in the previous chapter. Chapter 5 focuses on alternative approaches based on empiric likelihood and chapter 6 teaches study design based on quantile (residual life). The author uses numerical examples and sample cases with small datasets to help readers quickly grasp the concepts and learn application of the concepts.
Assessment: This book does an excellent job of presenting the basic concepts of residual life with various statistical methods, including recently developed methods, to infer the mean residual life as well as alternatives to this approach with easy-to-understand numerical examples and sample cases. This book is strongly recommended to beginning researchers and statistician who are interested in learning the theory and application of the residual life function.
Read More Show Less

Product Details

  • ISBN-13: 9781493900046
  • Publisher: Springer New York
  • Publication date: 2/28/2014
  • Series: Statistics for Biology and Health Series
  • Edition description: 2014
  • Pages: 201
  • Product dimensions: 6.30 (w) x 9.20 (h) x 0.70 (d)

Meet the Author

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.

Read More Show Less

Table of Contents

Introduction.- Inference on Mean Residual Life.- Quantile Residual Life.- Quantile Residual Life under Competing Risks.- Other Methods for Inference on Quantiles.- Study Design based on Quantile (Residual) Life.- Appendix: R codes.- References.- Index.
Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)