Alyssa Hopper

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A low-powered study is only going to be able to see a pretty big effect. But sometimes you know that the effect, if it exists, is small. In other words, a study that accurately measures the effect of a gene is likely to be rejected as statistically insignificant, while any result that passes the p < .05 test is either a false positive or a true positive that massively overstates the gene’s effect. Low power is a special danger in fields where small studies are common and effect sizes are typically modest.
How Not to Be Wrong: The Power of Mathematical Thinking
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