I. G. Mitchell

Learn More
The utility of rank transformation followed by parametric analysis of the ranks has been assessed for determination of the statistical significance of genotoxicity data. Both nonparametric and parametric analytical methods have defects when used to assess the significance of results from routine regulatory tests. Superficially, the rank transformation(More)
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: Abstract Using a reasonably accurate fatiguing leaky integrate and fire (FLIF) neural(More)
A system with some degree of biological plausibility is developed to categorise items from a widely used machine learning benchmark. The system uses fatiguing leaky integrate and fire neurons, a relatively coarse point model that roughly duplicates biological spiking properties; this allows spontaneous firing based on hypo-fatigue so that neurons not(More)
Micronucleus tests are generally analysed statistically for differences between the means of treated and control groups. 'Outliers' may either be rejected or grouped together with data from less responsive animals. In either case, a valuable indicator of a small, more sensitive (responder) population sub-group may then be missed. To alleviate this problem,(More)