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A value of information framework for assessing the trade-offs associated with uncertainty,duration, and cost of chemical toxicity testing
Authors:Shintaro Hagiwara  Greg M Paoli  Paul S Price  Maureen R Gwinn  Annette Guiseppi-Elie  Patrick J Farrell  Bryan J Hubbell  Daniel Krewski  Russell S Thomas
Institution:1. Risk Sciences International, Ottawa, Canada;2. Center for Compuational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA;3. Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA;4. School of Mathematics and Statistics, Carleton University, Ottawa, Canada;5. Air, Climate, and Energy Research Program, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
Abstract:A number of investigators have explored the use of value of information (VOI) analysis to evaluate alternative information collection procedures in diverse decision-making contexts. This paper presents an analytic framework for determining the value of toxicity information used in risk-based decision making. The framework is specifically designed to explore the trade-offs between cost, timeliness, and uncertainty reduction associated with different toxicity-testing methodologies. The use of the proposed framework is demonstrated by two illustrative applications which, although based on simplified assumptions, show the insights that can be obtained through the use of VOI analysis. Specifically, these results suggest that timeliness of information collection has a significant impact on estimates of the VOI of chemical toxicity tests, even in the presence of smaller reductions in uncertainty. The framework introduces the concept of the expected value of delayed sample information, as an extension to the usual expected value of sample information, to accommodate the reductions in value resulting from delayed decision making. Our analysis also suggests that lower cost and higher throughput testing also may be beneficial in terms of public health benefits by increasing the number of substances that can be evaluated within a given budget. When the relative value is expressed in terms of return-on-investment per testing strategy, the differences can be substantial.
Keywords:cost of delay  return on investment  risk decision making  social cost  toxicity testing  value of information
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