American Statistical Association
High throughput assays have enabled us to evaluate a large number of features simultaneously resulting in the need for stringent multiple testing correction. Weighing/filtering the hypotheses using independent information has been proposed as a way to reduce the burden of multiple testing correction. In a blog post titled "Prefiltering very large numbers of tests" Thomas Lumley wrote: "The penalty for doing a million tests is surprisingly small; correspondingly, the benefit for not doing a million tests is also surprisingly small." In this talk I will aim to explain and quantify this statement.
|Date:||Wednesday, March 22, 2017|
|Time:||4:00 - 5:00 P.M.|
Memorial Sloan Kettering Cancer Center
Department of Epidemiology and Biostatistics
485 Lexington Avenue
(Between 46th & 47th Streets)
2nd Floor, Conference Room B
New York, New York
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