Statistical methods for short-term tests in genetic toxicology: the first fifteen years.
Short-term tests (STTs) for detecting and assessing genotoxic or mutagenic effects have catalyzed the development of biostatistical methods for more than one decade. Most notably, the Ames Salmonella/microsome assay created statistical methodology with a range of applications going beyond genotoxicity. Early approaches with parametric statistical methods appeared to be insufficient and have been replaced by non-parametric ones requiring less restrictive distributional assumptions. There have also been successful attempts to use biomathematical models for establishing dose-response relationships. Overdispersion has been recognized as a major problem for the evaluation of mutagenic count data and methods to cope with it have became available. A theory of generalized linear modelling is emerging to combine dose-response modeling with much less restrictive distributional assumptions, while allowing the inclusion of concomitant factors arising from the experimental conditions. The methodological survey below reviews the present state of this development and is intended to promote further research into biostatistical issues and methods of analysis. Appropriate methods for the design and analysis of STTs are discussed. The progress for the Ames assay was only partially transmitted to the analysis of the large number of other short-term assays. Several such assays are reviewed with respect to their present state of statistical evaluation.
Edler
L
L
National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709.
D000818:Animals; D008957:Models, Genetic; D015233:Models, Statistical; D009152:Mutagenicity Tests; D013223:Statistics as Topic