Canadian Journal of Statistics

Contaminated normal modeling with application to microarray data analysis

Journal Article

Abstract

A contaminated beta model equation image is often used to describe the distribution of equation image‐values arising from a microarray experiment. The authors propose and examine a different approach: namely, using a contaminated normal model equation image to describe the distribution of equation image statistics or suitably transformed equation image statistics. The authors then address whether a researcher who has equation image statistics should analyze them using the contaminated normal model or whether the equation image statistics should be converted to equation image‐values to be analyzed using the contaminated beta model. The authors also provide a decision‐theoretic perspective on the analysis of equation image statistics. The Canadian Journal of Statistics 38: 315–332; 2010 © 2010 Statistical Society of Canada

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