Statistical issues and techniques appropriate for developmental neurotoxicity testing: a report from the ILSI...

The data from developmental neurotoxicity (DNT) guideline studies present a number of challenges for statistical design and analysis. The importance of specifying the planned statistical analyses a priori cannot be overestimated. A review of datasets submitted to the US Environmental Protection Agency revealed several inadequate approaches, including issues of Type I error control, power considerations, and ignoring gender, time, and litter allocation as factors in the analyses. Since DNT studies include numerous experimental procedures conducted on the dam and offspring at several ages, it is not unusual to have hundreds of significance tests if each was analyzed separately. Two general approaches to control experiment-wise Type I inflation are: 1) statistical/design considerations that reduce the number of p-values, including factorial designs, multivariate techniques, and repeated-measures analyses; and 2) adjustments to the alpha level, including newer approaches that are less conservative than, for example, Bonferroni corrections. The design of the DNT study includes testing of both sexes, and gender must be included in the statistical analysis for the determination of sex-related differences, and, indeed, including both sexes may increase power. The influence of litter must be taken into account in the allocation of test animals as well as the statistical analyses. This manuscript reviews many key considerations in the analysis of DNT studies with recommendations for statistical approaches and reporting of the data.