A 0.01 P-value Just Doesn't Cut It

Wednesday, March 3, 2010 - 10:28 in Mathematics & Economics

John Timmer comments on the problem of modern biomedical research and statistics: we can now measure so much more than our statistics can handle. In a typical genome-wide association study, you're testing so many hypotheses that the favored 0.05, 0.01, and 0.001 p-values from Stats 101 just don't cut it anymore. "We're so good at medical studies that most of them are wrong:" read more

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