Thomas Lumley • 8/27/2016

“The” multiple comparisons problem

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The article analyzes the 'multiple comparisons problem' in statistics, distinguishing between first-person and second-person perspectives. It discusses Andrew Gelman's claim that Bayesian inference solves this problem, examining the limitations and conditions under which this holds true, particularly regarding prior selection and the trade-off between false positives and false negatives.

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#Data Science #Multiple Comparisons #Statistical Analysis
“The” multiple comparisons problem

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