176
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Efficient Stratified Testing Procedure for a False Discovery Rate

, &
Pages 1117-1125 | Received 23 May 2012, Accepted 21 May 2013, Published online: 23 Oct 2014

References

  • Benjamini, Y., Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B 57:289–300.
  • Cai, T., Sun, W. (2009). Simultaneous testing of grouped hypotheses: Finding needles in multiple haystacks. Journal of the American Statistical Association 104:1467–1481.
  • Efron, B. (2008). Simultaneous inference: When should hypothesis testing problems be combined. The Annals of Applied Statistics 2:197–223.
  • Ferkinstad, E., Frigessi, A., Rue, H., Thorleifsson, G., Kong, A. (2008). Unsupervised empirical Bayesian multiple testing with external covariates. Annals of Applied Statistics 2:714–735.
  • Genovese, C.R., Roeder, K., Wasserman, L. (2006). False discovery rate control with p-value weighting. Biometrika 93:509–524.
  • Han, S., Andrei, A.C., Tsui, K.W. (2010). A robust method for large-scale multiple hypotheses testing. Biometrical Journal 52:222–232.
  • Keller, M.P., Choi, Y., Wang, P., Davis, D.B., Rabaglia, M.E., Oler, A.T., Stapleton, D.S., Argmann, C., Schueler, K.L., Edwards, S., Steinberg, H.A., Neto, E.C., Kleinhanz, R., Turner, S., Hellerstein, M.K., Schadt, E.E., Yandell, B.S., Kendziorski, C., Attie, A.D. (2008). A gene expression network model of type 2 diabetes links cell cycle regulation in islets with diabetes susceptibility. Genome Research 18:706–716.
  • Li, C., Li, M., Lange, E., Watanabe, R. (2008). Prioritized subset analysis: Improving power in genome-wide association studies. Human Heredity 65:129–141.
  • Maraganore, D.M., de Andrade, M., Lesnick, T.G., Strain, K.J., Farrer, M.J., Rocca, W.A., Pant, P. V.K., et al. (2005). High-resolution whole genome association study of Parkinson disease. The American Journal of Human Genetics 77:685–693.
  • Neyman, J., Pearson, E. (1933). On the problem of the most efficient tests of statistical hypotheses. Philosophical Transactions of the Royal Society A 231:289–337.
  • Pñna, E.A., Habiger, J.D., Wu, W. (2010). Power-enhanced multiple decision functions controlling family-wise error and false discovery rates. Annals of Statistics 39:556–583.
  • Schaid, D.J., Rowland, C. (1998). Use of parents, sibs, and unrelated controls for detection of association between genetic markers and disease. The American Journal of Human Genetics 63:1492–1506.
  • Schwartzman, A., Dougherty, R., Taylor, J. (2008). False discovery rate analysis of brain diffusion direction maps. The Annals of Applied Statistics 2:153–175.
  • Storey, J., Taylor, J., Siegmund, D. (2004). Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: A unified approach. Journal of the Royal Statistical Society, Series B 66:187–205.
  • Sun, L., Craiu, R.V., Paterson, A.D., Bull, S.B. (2006). Stratified false discovery control for large-scale hypothesis testing with application to genome-wide association studies. Genetic Epidemiology 30:519–530.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.