| Journal
of Agricultural, Biological, and Environmental Statistics A journal of applied statistics. Published by the American Statistical Association and the International Biometric Society. |
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.
Key Words
Bioassay; Developmental studies; Dirichlet distribution; Risk assessment.
Dale Bowman is Assistant Professor, Department of Mathematics, University of Mississippi, University, MS 38677.
Copyright © 1998 American Statistical Association and the International Biometric Society. All rights reserved.