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Abstract
A brief review is given of procedures for the collective analysis of a large number of significance tests. A simple procedure previously supplied for isolating ‘real’ effects on the basis of a large number of significance tests is generalized to deal with two-sided tests and is also related more explicitly to the false discovery rate.
Acknowledgements
This work has been supported by a UICC International Cancer Technology Transfer Fellowship.
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