Likelihood misspecification and safe dose determination for clustered binary data
✍ Scribed by Marc Aerts; Lieven Declerck; Geert Molenberghs
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 189 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1180-4009
No coin nor oath required. For personal study only.
✦ Synopsis
Development toxicity experiments are designed to assess potential adverse eects of drugs and other exposures on developing foetuses. Several authors have advocated the use of dose±response models to predict safe exposure levels. Dierent de®nitions and approaches leading to a so-called virtually safe dose (VSD) have been introduced. Moreover, a range of parametric dose±response models have been developed. The aim of this paper is to compare a number of VSD estimators and to study the eect of misspecifying the probabilistic model. Attention is restricted to likelihood estimation. The methods are applied to data collected under the National Toxicology Program. The goal of these experiments was to investigate eects in mice of three dierent chemicals. The outcomes of interest are foetal malformations, classi®ed as being external, visceral and skeletal.