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Jong-Hyeon Jeong - Statistical Inference on Residual Life - 9781493942534 - V9781493942534
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Statistical Inference on Residual Life

€ 63.36
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Description for Statistical Inference on Residual Life Paperback. This book reviews current statistical methods for inferring residual life distribution, including inference methods for mean and median, or quantile, residual life analysis through medical data examples. The concept is extended to competing risks analysis. Series: Statistics for Biology and Health. Num Pages: 212 pages, 5 black & white illustrations, 12 colour illustrations, 10 black & white tables, biograph. BIC Classification: MBNS; PBT; PSA. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 12. Weight in Grams: 338.

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 ... Read more

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Product Details

Format
Paperback
Publication date
2016
Publisher
Springer-Verlag New York Inc. United States
Number of pages
212
Condition
New
Series
Statistics for Biology and Health
Number of Pages
201
Place of Publication
New York, United States
ISBN
9781493942534
SKU
V9781493942534
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Jong-Hyeon Jeong
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 ... Read more

Reviews for Statistical Inference on Residual Life
“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 ... Read more

Goodreads reviews for Statistical Inference on Residual Life


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