Product liability forecasting for asbestos-related personal injury claims: a multidisciplinary approach.
This paper focuses on three aspects of forecasting models for asbestos-related disease/injuries relating to the Manville asbestos case: (1) The structure of forecasting models for asbestos-related personal injuries. (2) The epidemiologic evidence supporting the selected model structure and the constraints on the modeling assumptions imposed by that evidence. (3) The range of uncertainty associated with projections based on these forecasting models and issues relating to decision making under uncertainty.
Stallard
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Duke University, Center for Demographic Studies, Durham, North Carolina 27708, USA. eric@cds.duke.edu
D001194:Asbestos / Q000009:adverse effects*; D001195:Asbestosis / Q000453:epidemiology* / Q000209:etiology; D005260:Female; D005544:Forecasting / Q000379:methods*; D006801:Humans; D007603:Jurisprudence; D008175:Lung Neoplasms / Q000453:epidemiology* / Q000209:etiology; D008297:Male; D008654:Mesothelioma / Q000453:epidemiology* / Q000209:etiology; D009784:Occupational Diseases / Q000453:epidemiology* / Q000209:etiology; D012307:Risk Factors; D018426:SEER Program
D001194:Asbestos