Lifetime Data: Models in Reliability and Survival Analysis

Jewell, Nicholas P. (Editor), and Kimber, Alan C. (Editor), and Lee, Mei-Ling Ting (Editor), and Whitmore, G. A. (Editor)

ISBN 10: 0792337832 / ISBN 13: 9780792337836

Published by Kluwer Academic Publishers, Dordrecht, The Netherlands, 1996

About this Item

xi, [1], 409, [3] pages. Formulae, Illustrations. References. Author Index. Name of former owner in ink on fep. Nicholas P. Nicholas P. Jewell is Professor of Biostatistics and Statistics at the School of Public Health at the University of California, Berkeley. Since arriving at Berkeley in 1981, he has held various academic and administrative positions, most notably serving as Vice Provost from 1994 to 2000. He's also served as an Assistant Professor of Statistics at Princeton University (1979-1981), and held academic appointments at the University of Edinburgh, Oxford University, the London School of Hygiene and Tropical Medicine, and at the University of Kyoto. Dr. Jewell is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics and the American Association for the Advancement of Science. He received the 2012 Marvin Zelen Leadership Award in Statistical Science from Harvard University. He is the 2005 winner of the Snedecor Award from COPSS, and won the Distinguished Teaching Award from the University of California, Berkeley's School of Public Health in 2004. In 2000, he was honored by the Director's Award from the Federal Emergency Management Agency for providing "extraordinary leadership and vision in implementing strategies that enhance the disaster resistance of the University of California, Berkeley, and universities throughout America." In addition the 2005 Alfred E. Alquist Award was given to UC Berkeley's SAFER program that he launched and led for many years. He received a doctorate in Mathematics in 1976. Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages. This volume contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the journal Lifetime Data Analysis.

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Bibliographic Details

• Title: Lifetime Data: Models in Reliability and Survival Analysis
• Publisher: Kluwer Academic Publishers, Dordrecht, The Netherlands
• Publication Date: 1996
• Language: English
• ISBN 10: 0792337832
• ISBN 13: 9780792337836
• Binding: Hardcover
• Edition: Presumed First Edition, First printing.
• Condition: Very good

About this title

Synopsis

Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages.
This volume contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the new journal Lifetime Data Analysis (Kluwer Academic Publishers).