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80% Power? Really?

  Posted on 1st September 2018 by replicationnetwork

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[From the blog “The “80% power” lie” posted by Andrew Gelman in December 2017 at Statistical Modeling, Causal Inference, and Social Science] “Suppose we really were running studies with 80% power. In that case, the expected z-score is 2.8, and…

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 Category: NEWS & EVENTS      Tags: 80% Power, Andrew Gelman, NIH, p-values, Statistical power

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