Editors:
- Comprehensively covers clinical risk analysis and risk prediction in the host of fields in clinical medicine, including cancer and cardiovascular disease
- New survival and regression analysis techniques discussed
- Applies directly to areas of statistical genetics and marker identification
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 215)
Part of the book sub series: Lecture Notes in Statistics - Proceedings (LNSP)
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Table of contents (22 papers)
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Front Matter
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Risk Assessment in Lifetime Data Analysis
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Front Matter
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Evaluation of Predictions
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Front Matter
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Applications
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Front Matter
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About this book
Methods of risk analysis and the outcome of particular evaluations and predictions are covered in detail in this proceedings volume, whose contributions are based on invited presentations from Professor Mei-Ling Ting Lee's 2011 symposium on Risk Analysis and the Evaluation of Predictions. This symposium was held at the University of Maryland in October of 2011. Risk analysis is the science of evaluating health, environmental, and engineering risks resulting from past, current, or anticipated, future activities. The use of these evaluations include to provide information for determining regulatory actions to limit risk, present scientific evidence in legal settings, evaluate products and potential liabilities within private organizations, resolve World Trade disputes amongst nations, and educate the public concerning particular risk issues. Risk analysis is an interdisciplinary science that relies on epidemiology and laboratory studies, collection of exposure and other field data, computer modeling, and related social, economic and communication considerations. In addition, social dimensions of risk are addressed by social scientists.
Editors and Affiliations
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University of Maryland, College Park, USA
Mei-Ling Ting Lee
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National Cancer Institute Div. Cancer Epidemiology & Genetics, Bethesda, USA
Mitchell Gail
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National Cancer Institute, Bethesda, USA
Ruth Pfeiffer
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Centers for Disease Control and Prevention, Atlanta, USA
Glen Satten
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Department of Biostatistics, Harvard School of Public Health, Boston, USA
Tianxi Cai
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Department of Mathematics, Imperial College London, London, United Kingdom
Axel Gandy
About the editors
Bibliographic Information
Book Title: Risk Assessment and Evaluation of Predictions
Editors: Mei-Ling Ting Lee, Mitchell Gail, Ruth Pfeiffer, Glen Satten, Tianxi Cai, Axel Gandy
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-1-4614-8981-8
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2013
Softcover ISBN: 978-1-4614-8980-1Published: 11 December 2013
eBook ISBN: 978-1-4614-8981-8Published: 11 December 2013
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: XI, 445
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistics, general, Statistics and Computing/Statistics Programs