Risk Assessment and Decision Making Using Test Results: The Carcinogenicity Prediction and Battery Selection Approach
Springer US, May 31, 1989 - Nature - 211 pages
The difficulties associated with making risk assessments on the basis of experimental results are familiar to practitioners in many fields engineering, epidemiology, chemistry, etc. These difficulties are particularly common in problems that have dynamic and stochastic characteristics driven by multiple purposes and goals, with complex interconnections and inter dependencies. Acquiring an appropriate data base, processing and analyzing model results, and transmitting these results at an appropriate technical, social, political, and institutional level are additional difficulties that must be addressed. This book is grounded on the premise that risks are best assessed on the basis of experimental results and sound mathematical analyses, coupled with the knowledge of experts. The carcinogenicity prediction and battery selection (ePBS) approach described herein provides a systematic mechan ism-a synthesis of systems and statistical and decision analyses-to aid researchers and decision makers in the critical field of carcinogenicity prediction in selecting an appropriate battery of tests to use and in translating experimental results into information that can be used as an aid to decision making.
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Risk Assessment and Decision Making Using Test Results
V. Chankong,F. K. Ennever,Y. Y. Haimes
No preview available - 1989
additional alternative applied approach assays battery of tests battery selection Bayesian cancer carcinogenicity Chapter chemical Class cluster analysis combinations compute conditional consider consisting construct cost CPBS data base data items decision maker dependence described determine discussion dynamic programming estimates evaluation example expected FIGURE formulation function give given hazard identify illustrate independent indicate individual interpretation involves knowledge known matrix maximum measures method models multiple negative negative results node noncarcinogens Note objects obtained optimal pair of tests particular perfect information performance positive result possible potential preceding prediction preference present prior probability probability problem procedures property of interest proximity represent rule selection sensitivities and specificities short-term tests similar solution stage statistical step subjective Suppose Table test results utility