Bring Harmonization into Dose-Response and Benchmark Dose Modeling Guidance
Public Domain
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2020/03/01
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By Wheeler M
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Description:To establish a point of departure, some form of dose-response analysis (DRA) must be employed. Benchmark dose (BMD) modeling is the preferred approach over the NOAEL/LOAEL approach for a number of reasons, as identified by the WHO risk assessment guidance EHC 240. However, there are myriad choices available to the modeler, which range from the form of the dose-response curve to the type of analysis (e.g., frequentist versus Bayesian versus model average), and the question becomes, How does one make reproducible, scientifically valid decisions with all of these options? To bring harmonization and transparency into BMD modeling, the new guidance addresses these discrepancies by emphasizing the use of multi-model inference using model averaging, with a reliance on Bayesian models to implement "soft-constraints" on model parameters. The speaker will focus on how the newly developed guidance leverages new methodologies (e.g., model averaging and Bayesian dose-response modeling) while producing scientifically sound and robust results. Emphasis is made on the selection of different model suite and Bayesian priors for proper analyses of the BMD. This talk is geared toward toxicologists and BMD software users. It focuses on the practical choices when performing a dose-response analysis and is not intended to be technical in nature. [Description provided by NIOSH]
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ISSN:1096-6080
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Volume:174
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Issue:1
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NIOSHTIC Number:nn:20059004
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Citation:Toxicologist 2020 Mar; 174(1):172
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Federal Fiscal Year:2020
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Peer Reviewed:False
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Source Full Name:The Toxicologist. Society of Toxicology 59th Annual Meeting and ToxExpo, March 15-19, 2020, Anaheim, California
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Main Document Checksum:urn:sha-512:d83bee166267313bfae48b9b9bbea822e4b87e694b69b55dae6ced7e03b1c6f3e465cdf8e7b4772ecafd5b77794e2764a0c560e1d05e100a308406ce3596b3b9
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