Low statistical power reduces the likelihood that a statistically significant finding reflects a true effect, and therefore increases the likelihood that a literature consisting of a large number of nominally significant findings, generated by a series of underpowered studies, may not be robust.
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Triangulating meta-analyses: the example of the serotonin transporter gene, stressful life events and major depression.
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