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Juan Carlos Correa ; Mauricio Arcos-Burgos ;Revista Colombiana de Estadística 2014, 37 1

Autor: Jorge Iván Vélez

Fuente: http://www.redalyc.org/


Introducción



Revista Colombiana de Estadística ISSN: 0120-1751 revcoles_fcbog@unal.edu.co Universidad Nacional de Colombia Colombia Vélez, Jorge Iván; Correa, Juan Carlos; Arcos-Burgos, Mauricio A New Method for Detecting Significant p-values with Applications to Genetic Data Revista Colombiana de Estadística, vol.
37, núm.
1, junio, 2014, pp.
69-78 Universidad Nacional de Colombia Bogotá, Colombia Available in: http:--www.redalyc.org-articulo.oa?id=89931327005 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Revista Colombiana de Estadística Junio 2014, volumen 37, no.
1, pp.
69 a 78 A New Method for Detecting Significant p-values with Applications to Genetic Data Una nuevo método para la detección de valores p significativos y su aplicación a datos genéticos Jorge Iván Vélez1,2,3,a , Juan Carlos Correa3,4,b , Mauricio Arcos-Burgos1,2,c 1 Genomics and Predicitive Medicine Group, Genome Biology Department, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia 2 Group of Neurosciences, University of Antioquia, Medellín, Colombia 3 Research 4 Department Group in Statistics, National University of Colombia, Medellín, Colombia of Statistics, National University of Colombia, Medellín, Colombia Abstract A new method for detecting significant p-values is described in this paper.
This method, based on the distribution of the m-th order statistic of a U (0, 1) distribution, is shown to be suitable in applications where m → ∞ independent hypothesis are tested and it is of interest for a fixed type I error probability to determine those being significant while controlling the false positives.
Equivalencies and comparisons between our method and others methods based-on p-values are ...





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