This appendix contains the results obtained from the analysis of variance described in chapter three using " driver " as the second factor.

ANOVA provides a general approach to the analysis of single and multiple factor experiments on both one- and two-color microarray platforms. Mixed model ANOVA is important because in many microarray experiments there are multiple sources of variation that must be taken into consideration when constructing tests for differential expression of a gene. The genome is large, and the signals of expre...

When evaluating the clinical performance of a medical imaging device, multi-reader multi-case (MRMC) analysis is usually applied to account for both case and reader variability. For task that equates quantitative measurement, an agreement such as limits (LOA) method can be used compare different measurement methods. In this work, we introduce four types comparisons; these differ depending on wh...

This paper is concerned withANOVA-like tests in the context of mixed discrete and continuous data. The likelihood ratio approach is used to obtain a location test in themixed data setting after specifying a general locationmodel for the joint distribution of themixed discrete and continuous variables. The approach allows the problem to be treated from a multivariate perspective to simultaneousl...