Efficient p-value estimation in massively parallel testing problems

We present a new method to efficiently estimate very large numbers of p-values using empirically constructed null distributions of a test statistic. The need to evaluate a very large number of p-values is increasingly common with modern genomic data, and when interaction effects are of interest, the...

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Veröffentlicht in:	Biostatistics (Oxford, England) England), 2008-10, Vol.9 (4), p.601-612
Hauptverfasser:	Kustra, Rafal, Shi, Xiaofei, Murdoch, Duncan J., Greenwood, Celia M. T., Rangrej, Jagadish
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Bayes Theorem Biomedical research Colorectal Neoplasms - genetics Estimating techniques Genetic Markers - genetics Genome-Wide Association Study - methods Genomics Genotype Haplotypes Humans Likelihood Functions Models, Genetic Models, Statistical Polymorphism, Single Nucleotide Research methodology Statistical analysis Statistical Distributions
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