Investigations into parametric analysis of data from in vivo micronucleus assays by comparison with non-parametric methods.
Data from micronucleus assays of 6 compounds were analysed by 3 non-parametric and 3 parametric methods. Two of the latter involved transformation of the data so several transformation strategies were investigated. It was concluded that the non-parametric Kolmogorov-Smirnov two-sample test was the most reliable method of analysis. None of the parametric solutions was entirely satisfactory. The Bayesian solution to the Behrens-Fisher problem of normal distributions with differing variances was an acceptable compromise after the data had been transformed by the inverse hyperbolic sine method applicable to negative binomials.
D000818:Animals; D002467:Cell Nucleus / Q000187:drug effects* / Q000648:ultrastructure; D004305:Dose-Response Relationship, Drug; D005260:Female; D008297:Male; D051379:Mice; D009152:Mutagenicity Tests / Q000379:methods*; D009153:Mutagens / Q000494:pharmacology; D013223:Statistics as Topic
D009153:Mutagens