A New Method for Detecting Significant p-values with Applications to Genetic Data

A new method for detecting signicant 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 ! 1 independent hypothesis are tested and it is of interest for a xed type I error probability to determine those being signicant while controlling the false positives. Equivalencies and comparisons between our method and others methods based-on p-values are also established, and a graphical representation of the distribution of the test statistic is depicted for dierent values of m. Finally, our proposal is illustrated with two microarray data sets.