Literature DB >> 12530789

Optimal designs for estimating the effective dose in developmental toxicity experiments.

Daniel Krewski1, Robert Smythe, Karen Y Fung.   

Abstract

Recent advances in risk assessment have led to the development of joint dose-response models to describe prenatal death and fetal malformation rates in developmental toxicity experiments. These models can be used to estimate the effective dose corresponding to a 5% excess risk for both these toxicological endpoints, as well as for overall toxicity. In this article, we develop optimal experimental designs for the estimation of the effective dose for developmental toxicity using joint Weibull dose-response models for prenatal death and fetal malformation. Based on an extended series of developmental studies, near-optimal designs for prenatal death, malformation, and overall toxicity were found to involve three dose groups: an unexposed control group, a high dose equal to the maximum tolerated dose, and a low dose above or comparable to the effective dose. The effect on the optimal designs of changing the number of implants and the degree of intra-litter correlation is also investigated. Although the optimal design has only three dose groups in most cases, practical considerations involving model lack of fit and estimation of the shape of the dose-response curve suggest that, in practice, suboptimal designs with more than three doses will often be preferred.

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Year:  2002        PMID: 12530789     DOI: 10.1111/1539-6924.00283

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  1 in total

1.  Two-Stage Experimental Design for Dose-Response Modeling in Toxicology Studies.

Authors:  Kai Wang; Feng Yang; Dale W Porter; Nianqiang Wu
Journal:  ACS Sustain Chem Eng       Date:  2013-06-27       Impact factor: 8.198

  1 in total

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