In the analysis of microarray data, and in some other contemporary statistical problems, it is not uncommon to apply hypothesis tests in a highly simultaneous way. The number, N say, of tests used can ...

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This is a preview. Log in through your library . Abstract It is widely held that the classical decision version of the Neyman-Pearson test theory is inappropriate in the scientific context. The ...

Multiple hypothesis testing is an important part of many high-throughput data analysis workflows. A common objective is to maximize the number of discoveries while controlling the expected fraction of ...