On the Statistical Properties of SGoF Multitesting Method
Jacobo de Uña-Alvarez
Statistical Applications in Genetics and Molecular Biology, 2011, vol. 10, issue 1, 1-30
Abstract:
In this paper we establish the statistical properties of SGoF multitesting method under a mixture model. It is assumed that the available set of p-values is statistically independent. Special attention is paid to the huge dimension problem in which the number of tests goes to infinity. Formulae for the power and the rate of false discoveries/non-discoveries of SGoF are given, so the role of the gamma-parameter of SGoF is understood. The existing connection between SGoF and a test of significance for the proportion of non-true nulls below gamma is explored. This connection suggests a possible modification of SGoF which may improve the power of the method. Simulation studies and a real data illustration are included.
Keywords: false discovery rate; genomics; multiple testing; p-value (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2202/1544-6115.1659 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:sagmbi:v:10:y:2011:i:1:n:18
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/sagmb/html
DOI: 10.2202/1544-6115.1659
Access Statistics for this article
Statistical Applications in Genetics and Molecular Biology is currently edited by Michael P. H. Stumpf
More articles in Statistical Applications in Genetics and Molecular Biology from De Gruyter
Bibliographic data for series maintained by Peter Golla ().