Mesothelioma Forecasting Product Liability Claims
Mesothelioma Forecasting Product Liability Claims
Mesothelioma Forecasting Product Liability Claims Forecasting Product Liability Claims: Epidemiology and Modeling in the Manville Asbestos Case (Statistics for Biology and Health) Hardcover – October 25
From the reviews:
"This monograph shows then epidemiological
prediction in action and is more eloquent than most textbooks as regards
to methodology and difficulties encountered with field data. It should
interest far outside the circle of asbestos-related epidemiology
because of its rigorous exposition, the relevance of its questions, the
adequacy of the solutions offered, the discussion of its results, and
its legal, financial, and human consequences."
Mathematical Population Studies, 12:181-182, 2005
"Over
750,000 claimants have filed suit … for illnesses and deaths related to
exposure to asbestos, and at least 65 companies had been driven to
bankruptcy; these numbers continue to grow. … This work led to
substantial advances in the art of forecasting the number, timing, and
nature of new claims. The authors present a lucid explanation of these
advances and a description of how the matters in litigation have been
settled. The presiding judge, Jack Weinstein, has contributed an
informative preface … ." (J.C. Bailar, Short Book Reviews Publication of
the International Statistical Institute, Vol. 25 (1), 2005)
"Demographers
Eric Stallard, Kenneth Manton and Joel Cohen use a risk assessment
framework to estimate the numbers of claims expected during the period
between 1990 and 2049 for asbestos-related disease among men exposed to …
asbestos products. … Forecasting Product Liability Claims is notable
for its illustration of the possibility of using epidemiologic and
demographic methods to develop models for broad policy purposes. … It is
formula-rich and dense in its description of data sources and the
machinery of the models, as it should be." (Jonathan M. Samet,
Science-AAAS, May, 2006)
"This book summarizes the statistical
models for projecting the number, timing, and nature of future claims,
and it discusses how these predictions are used in developing a fair and
equitable distribution of insufficient funds. … This book provides a
fascinating account of how predication models are used to solve a
very-real problem. It makes wonderful reading for statisticians
interested in prediction problems, epidemiologists, actuaries, and
lawyers involved in product liability suits and having to predict the
number of possible litigants." (Johannes Ledolter, Zentralblatt MATH,
Vol. 1099 (1), 2007)
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Mesothelioma Forecasting Product Liability Claims