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Activity Number: 461 - Bayesian Statistical Methods for High-Throughput Toxicity Testing and Risk Assessment
Type: Topic Contributed
Date/Time: Wednesday, July 31, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Risk Analysis
Abstract #307172 Presentation
Title: Using ToxCast Data for Statistical Research in Chemical Risk Assessment.
Author(s): Matthew W Wheeler*
Companies: CDC/NIOSH
Keywords: Risk Assessment; Functional Data; High Dimensional Data; Non-parametric Bayes

In 2015, the US EPA released the ToxCast high throughput toxicity database, which contains information on thousands of chemicals each tested on hundreds of bioassays. Not only is this database a source of information providing toxicity information on each chemical tested, but it is a valuable research tool that can be used to develop novel statistical methodologies. This talk described the data, available in a SQL database, and explains how to extract it using R. Additionally, novel statistical approaches that have been develop based upon the ToxCast database are briefly described. As this talk is designed to provide the data to researchers, the full database will be provided to those interested. T

Authors who are presenting talks have a * after their name.

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