Combining dependent P-values with an empirical adaptation of Brown's method

@article{Poole2016CombiningDP,
  title={Combining dependent P-values with an empirical adaptation of Brown's method},
  author={William Poole and David L. Gibbs and Ilya Shmulevich and Brady Bernard and Theo A. Knijnenburg},
  journal={Bioinformatics},
  year={2016},
  volume={32 17},
  pages={i430-i436}
}
MOTIVATION Combining P-values from multiple statistical tests is a common exercise in bioinformatics. However, this procedure is non-trivial for dependent P-values. Here, we discuss an empirical adaptation of Brown's method (an extension of Fisher's method) for combining dependent P-values which is appropriate for the large and correlated datasets found in high-throughput biology. RESULTS We show that the Empirical Brown's method (EBM) outperforms Fisher's method as well as alternative… CONTINUE READING
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