Findings in the Area of Risk Management Reported from National Institute for Occupational Safety and Health (Bayesian Quantile Impairment Threshold…

Findings in the Area of Risk Management Reported from National Institute for Occupational Safety and Health (Bayesian Quantile Impairment Threshold Benchmark Dose Estimation for Continuous Endpoints)

By a News Reporter-Staff News Editor at Insurance Weekly News -- Researchers detail new data in Risk Management. According to news reporting originating from Cincinnati, Ohio, by VerticalNews correspondents, research stated, "Quantitative risk assessment often begins with an estimate of the exposure or dose associated with a particular risk level from which exposure levels posing low risk to populations can be extrapolated. For continuous exposures, this value, the benchmark dose, is often defined by a specified increase (or decrease) from the median or mean response at no exposure."

Our news editors obtained a quote from the research from National Institute for Occupational Safety and Health, "This method of calculating the benchmark dose does not take into account the response distribution and, consequently, cannot be interpreted based upon probability statements of the target population. We investigate quantile regression as an alternative to the use of the median or mean regression. By defining the dose-response quantile relationship and an impairment threshold, we specify a benchmark dose as the dose associated with a specified probability that the population will have a response equal to or more extreme than the specified impairment threshold. In addition, in an effort to minimize model uncertainty, we use Bayesian monotonic semiparametric regression to define the exposure-response quantile relationship, which gives the model flexibility to estimate the quantal dose-response function."

According to the news editors, the research concluded: "We describe this methodology and apply it to both epidemiology and toxicology data."

For more information on this research see: Bayesian Quantile Impairment Threshold Benchmark Dose Estimation for Continuous Endpoints. Risk Analysis, 2017;():. (Wiley-Blackwell - www.wiley.com/; Risk Analysis - onlinelibrary.wiley.com/journal/10.1111/(ISSN)1539-6924)

The news editors report that additional information may be obtained by contacting M.W. Wheeler, National Institute for Occupational Safety and Health, MS C15, 1050 N Tusculum Avenue, Cincinnati, OH, United States. Additional authors for this research include A.J. Bailer, T. Cole, R.M. Park and K. Shao.

Keywords for this news article include: Ohio, Cincinnati, Epidemiology, United States, Risk Management, North and Central America.

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