Statistical Inference on Residual Life - Statistics for Biology and Health (Hardback)Jong-Hyeon Jeong (author)
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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.
Publisher: Springer-Verlag New York Inc.
Number of pages: 201
Weight: 496 g
Dimensions: 235 x 155 x 18 mm
Edition: 2014 ed.
"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)