On the Tuning Parameter for the Adaptive Bonferroni Procedure under Positive Dependence
Ji Won Byun and Jianan Peng*
Department of Mathematics and Statistics, Acadia University, Wolfville, NS, B4P, 2R6, Canada
- *Corresponding Author:
- Jianan Peng
Department of Mathematics and Statistics
Acadia University, Wolfville, NS, B4P2R6 Canada
E-mail: [email protected]
Received Date: October 22, 2011; Accepted Date: January 21, 2012; Published Date: January 25, 2012
Citation: Byun JW, Peng J (2012) On the Tuning Parameter for the Adaptive Bonferroni Procedure under Positive Dependence. J Biomet Biostat 3:130. doi:10.4172/2155-6180.1000130
Copyright: © 2012 Byun JW, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Guo introduced an adaptive Bonferroni procedure and he proved that his adaptive Bonferroni procedure controls the familywise error rate under a conditional dependence model. However, how to choose the tuning parameter λ to control the familywise error rate in the procedure under positive dependence is not clear in his paper. In this paper, we suggest that λ = α . Simulation studies are provided.