SDMinP: a program to control the family wise error rate using step-down minP adjusted P-values
Author(s) -
Markus Obreiter,
Christine Fischer,
Jenny ChangClaude,
Lars Beckmann
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti480
Subject(s) - resampling , permutation (music) , statistic , uncorrelated , algorithm , word error rate , statistics , test statistic , mathematics , computer science , sampling (signal processing) , type i and type ii errors , variation (astronomy) , statistical hypothesis testing , artificial intelligence , detector , physics , acoustics , telecommunications , astrophysics
SDMinP is an easy-to-use program for fast calculation of empirical and adjusted P-values for correlated and uncorrelated hypotheses in multiple testing experiments. It is based on the Free Step-Down Resampling Method for controlling the family wise error rate, and implements a variation of an efficient algorithm, which reduces the originally required re-sampling effort considerably and makes the method computationally feasible. The program is independent of the underlying test statistic and works with provided observed and permutation test statistics.
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