Back to Search Start Over

An adaptive two-sample test for high-dimensional means.

Authors :
GONGJUN XU
LIFENG LIN
PENG WEI
WEI PAN
Source :
Biometrika. Sep2016, Vol. 103 Issue 3, p609-624. 16p.
Publication Year :
2016

Abstract

Several two-sample tests for high-dimensional data have been proposed recently, but they are powerful only against certain alternative hypotheses. In practice, since the true alternative hypothesis is unknown, it is unclear how to choose a powerful test. We propose an adaptive test that maintains high power across a wide range of situations and study its asymptotic properties. Its finite-sample performance is compared with that of existing tests. We apply it and other tests to detect possible associations between bipolar disease and a large number of single nucleotide polymorphisms on each chromosome based on data from a genome-wide association study. Numerical studies demonstrate the superior performance and high power of the proposed test across a wide spectrum of applications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00063444
Volume :
103
Issue :
3
Database :
Academic Search Index
Journal :
Biometrika
Publication Type :
Academic Journal
Accession number :
119939560
Full Text :
https://doi.org/10.1093/biomet/asw029