Nature Genetics
36, 943 - 947 (2004)
Published online: 30 August 2004; | doi:10.1038/ng1422
Towards sound epistemological foundations of statistical methods for high-dimensional biologyTapan Mehta1, 2, Murat Tanik1, 2
& David B Allison1, 31
Department of Biostatistics, Section on Statistical Genetics, Ryals Public Health Building, Suite 327; University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, Alabama 35294, USA. 2
Department of Electrical and Computer Engineering; University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, Alabama 35294, USA. 3
Clinical Nutrition Research Center; University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, Alabama 35294, USA.
Correspondence should be addressed to David B Allison dallison@uab.eduA sound epistemological foundation for biological inquiry comes, in part, from application of valid statistical procedures. This tenet is widely appreciated by scientists studying the new realm of high-dimensional biology, or 'omic' research, which involves multiplicity at unprecedented scales. Many papers aimed at the high-dimensional biology community describe the development or application of statistical techniques. The validity of many of these is questionable, and a shared understanding about the epistemological foundations of the statistical methods themselves seems to be lacking. Here we offer a framework in which the epistemological foundation of proposed statistical methods can be evaluated.
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