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- Title
Nonparametric Bayesian Methods for Benchmark Dose Estimation.
- Authors
Guha, Nilabja; Roy, Anindya; Kopylev, Leonid; Fox, John; Spassova, Maria; White, Paul
- Abstract
The article proposes and investigates the performance of two Bayesian nonparametric estimation procedures in the context of benchmark dose estimation in toxicological animal experiments. The methodology is illustrated using several existing animal dose-response data sets and is compared with traditional parametric methods available in standard benchmark dose estimation software (BMDS), as well as with a published model-averaging approach and a frequentist nonparametric approach. These comparisons together with simulation studies suggest that the nonparametric methods provide a lot of flexibility in terms of model fit and can be a very useful tool in benchmark dose estimation studies, especially when standard parametric models fail to fit to the data adequately.
- Subjects
NONPARAMETRIC estimation; BAYESIAN analysis; DOSE-response relationship (Radiation); SIMULATION methods &; models; DISTRIBUTION (Probability theory); WIENER processes
- Publication
Risk Analysis: An International Journal, 2013, Vol 33, Issue 9, p1608
- ISSN
0272-4332
- Publication type
Article
- DOI
10.1111/risa.12004