References
- Blanchard, G., and E. Roquain. 2009. Adaptive FDR control under independence and dependence. Journal of Machine Learning 29:2837–71.
- Cao, H., W. Sun, and M. Kosorok. 2013. The optimal power puzzle, scrutiny of the monotone likelihood ratio assumption in multiple testing. Biometrika 100 (2):495–552. doi:https://doi.org/10.1093/biomet/ast001.
- Choe, S. E., M. Boutros, A. M. Michelson, G. M. Church, and M. S. Halfon. 2005. Preferred analysis methods for affymetrix genechips revealed by a wholly defined control dataset. Genome Biology 6 (2):R16.
- Efron, B. 2004. Large-scale simultaneous hypothesis testing: The choice of a null hypothesis. Journal of the American Statistical Association 99 (465):96–104. doi:https://doi.org/10.1198/016214504000000089.
- Finner, H., and V. Gontscharuk. 2009. Controlling the familywise error rate with plug-in estimator for the proportion of true null hypotheses. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 71 (5):1031–48. doi:https://doi.org/10.1111/j.1467-9868.2009.00719.x.
- Guo, W. 2009. A note on adaptive Bonferroni and Holm’s procedures under dependence. Biometrika 96 (4):1012–8. doi:https://doi.org/10.1093/biomet/asp048.
- Hwang, J., J. Qiu, and Z. Zhao. 2009. Empirical Bayes confidence intervals shrinking both means and variances. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 71:265–85. doi:https://doi.org/10.1111/j.1467-9868.2008.00681.x.
- Jin, J., and Z. Zhao. 2015. On the generalization of BH procedure. Manuscript. http://astro.temple.edu/zhaozhg/GenBH.pdf.
- Sarkar, S., W. Guo, and H. Finner. 2012. On adaptive procedures controlling the familywise error rate. Journal of Statistical Planning and Inference 142 (1):65–78. doi:https://doi.org/10.1016/j.jspi.2011.06.022.
- Sun, W., and T. Cai. 2007. Oracle and adaptive compound decision rules for false discovery rate control. Journal of the American Statistical Association 102 (479):901–12. doi:https://doi.org/10.1198/016214507000000545.