Ji Won Byun and Jianan Peng
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.
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Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report