@article{wes97bay,
  title = {A {{Bayesian}} Perspective on the {{Bonferroni}} Adjustment},
  volume = {84},
  journal = {Biometrika},
  author = {Westfall, Peter H. and Johnson, Wesley O. and Utts, Jessica M.},
  year = {1997},
  keywords = {bayesian-inference,multiplicity,multiple-comparisons},
  pages = {419-427},
  citeulike-article-id = {13265041},
  posted-at = {2014-07-14 14:09:48},
  priority = {0},
  annote = {Bonferroni adjustment is consistent with prior which assumes that the probability that all null hypotheses is true is a constant (say 0.5) no matter how many hypotheses are tested; If priors for individual parameters are well calibrated there is no need for adjusting the prior to take into account other hypotheses being tested}
}

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