A Web-Based System for Bayesian Benchmark Dose Estimation.

ABSTRACT:

Background

Benchmark dose (BMD) modeling is an important step in human health risk assessment and is used as the default approach to identify the point of departure for risk assessment. A probabilistic framework for dose-response assessment has been proposed and advocated by various institutions and organizations; therefore, a reliable tool is needed to provide distributional estimates for BMD and other important quantities in dose-response assessment.

Objectives

We developed an online system for Bayesian BMD (BBMD) estimation and compared results from this software with U.S. Environmental Protection Agency's (EPA's) Benchmark Dose Software (BMDS).

Methods

The system is built on a Bayesian framework featuring the application of Markov chain Monte Carlo (MCMC) sampling

SUBMITTER: Shao K 

PROVIDER: S-EPMC6014690 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature