Statistical Properties of Multivariate Distance Matrix Regression for High Dimensional Data Analysis

Statistical Properties of Multivariate Distance Matrix Regression for High Dimensional Data Analysis

Multivariate distance matrix regression (MDMR) analysis is a statistical technique that allows researchers to relate P variables to an additional M factors collected on N individuals, where P>>N. The technique can be applied to a number of research settings involving high dimensional d...

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Bibliographic Details
Main Authors: Nicholas J Schork, Matthew A Zapala
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-09-01
Series:Frontiers in Genetics
Subjects:
simulation
multivariate analysis
Regression Analysis
Distance Matrix
High dimensional data
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00190/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00190/full

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