Bayesian Bootstrap Procedures in Dose-Response Assessment
Abstract
This article presents Bayesian bootstrap techniques for risk assessment in bioassays and developmental studies. The Bayesian bootstrap allows for the simulation of a posterior distribution and flexibility in the introduction of prior assumptions. Applications are made to datasets from a bioassay experiment, a clinical trial, and a developmental toxicity study.
Publication Title
Journal of Agricultural, Biological, and Environmental Statistics
Recommended Citation
Bowman, D. (1998). Bayesian Bootstrap Procedures in Dose-Response Assessment. Journal of Agricultural, Biological, and Environmental Statistics, 3 (4), 370-382. https://doi.org/10.2307/1400571
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