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