Title

Bayesian bootstrap methods for developmental toxicity studies

Abstract

Estimates of mean response for a developmental toxicity study are developed using the techniques of Bayesian bootstrap. Using this method, a joint posterior distribution of mean response is simulated, providing a means for determining estimated variance and confidence statements. The approach allows for effects on litter size to be taken into consideration in the estimation of mean response. In addition a method is given for the incorporation of prior information into the analysis. The prior information may be information about mean response and about the litter size distribution as well. Results are compared with likelihood based estimates. © 2005 Taylor & Francis Ltd.

Publication Title

Journal of Statistical Computation and Simulation

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