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- Title
A correction for estimating error when using the Local Pooled Error Statistical Test.
- Authors
Carl Murie; Robert Nadon
- Abstract
Jain et al. introduced the Local Pooled Error (LPE) statistical test designed for use with small sample size microarray gene-expression data. Based on an asymptotic proof, the test multiplicatively adjusts the standard error for a test of differences between two classes of observations by π/2 due to the use of medians rather than means as measures of central tendency. The adjustment is upwardly biased at small sample sizes, however, producing fewer than expected small P-values with a consequent loss of statistical power. We present an empirical correction to the adjustment factor which removes the bias and produces theoretically expected P-values when distributional assumptions are met. Our adjusted LPE measure should prove useful to ongoing methodological studies designed to improve the LPEs; performance for microarray and proteomics applications and for future work for other high-throughput biotechnologies. Availability: The software is implemented in the R language and can be downloaded from the Bioconductor project website (http://www.bioconductor.org). Contact: robert.nadon@mcgill.ca
- Subjects
STATISTICAL sampling; PROTEOMICS; STANDARD deviations; ASYMPTOTIC efficiencies
- Publication
Bioinformatics, 2008, Vol 24, Issue 15, p1735
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btn211