Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range. Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.
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Replication data for: Control of the Mean Number of False Discoveries, Bonferroni, and Stability of Multiple Testing
Replication data for: Control of the Mean Number of False Discoveries, Bonferroni, and Stability of Multiple Testing
Nov 27, 2007
Alexander Gordon; Galina Glazko; Xing Qiu; and Andrei Yakovlev, 2007, "Replication data for: Control of the Mean Number of False Discoveries, Bonferroni, and Stability of Multiple Testing", https://doi.org/10.7910/DVN/PFKQFJ, Harvard Dataverse, V1
The Bonferroni multiple testing procedure is commonly perceived as being overly conservative in large-scale simultaneous testing situations such as those that arise in microarray data analysis. The objective of the present study is to show that this popular belief is due to overly stringent requirements that are typically imposed on the procedure r...
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