Product liability forecasting for asbestos-related personal injury claims: a multidisciplinary approach.
Publication
, Journal Article
Stallard, E
Published in: Annals of the New York Academy of Sciences
December 2001
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.
Duke Scholars
Published In
Annals of the New York Academy of Sciences
DOI
EISSN
1749-6632
ISSN
0077-8923
Publication Date
December 2001
Volume
954
Start / End Page
223 / 244
Related Subject Headings
- SEER Program
- Risk Factors
- Occupational Diseases
- Mesothelioma
- Male
- Lung Neoplasms
- Jurisprudence
- Humans
- General Science & Technology
- Forecasting
Citation
APA
Chicago
ICMJE
MLA
NLM
Stallard, E. (2001). Product liability forecasting for asbestos-related personal injury claims: a multidisciplinary approach. Annals of the New York Academy of Sciences, 954, 223–244. https://doi.org/10.1111/j.1749-6632.2001.tb02754.x
Stallard, E. “Product liability forecasting for asbestos-related personal injury claims: a multidisciplinary approach.” Annals of the New York Academy of Sciences 954 (December 2001): 223–44. https://doi.org/10.1111/j.1749-6632.2001.tb02754.x.
Stallard E. Product liability forecasting for asbestos-related personal injury claims: a multidisciplinary approach. Annals of the New York Academy of Sciences. 2001 Dec;954:223–44.
Stallard, E. “Product liability forecasting for asbestos-related personal injury claims: a multidisciplinary approach.” Annals of the New York Academy of Sciences, vol. 954, Dec. 2001, pp. 223–44. Epmc, doi:10.1111/j.1749-6632.2001.tb02754.x.
Stallard E. Product liability forecasting for asbestos-related personal injury claims: a multidisciplinary approach. Annals of the New York Academy of Sciences. 2001 Dec;954:223–244.
Published In
Annals of the New York Academy of Sciences
DOI
EISSN
1749-6632
ISSN
0077-8923
Publication Date
December 2001
Volume
954
Start / End Page
223 / 244
Related Subject Headings
- SEER Program
- Risk Factors
- Occupational Diseases
- Mesothelioma
- Male
- Lung Neoplasms
- Jurisprudence
- Humans
- General Science & Technology
- Forecasting