Power and Error: Increased Risk of False Positive Results in Underpowered Studies
Robert Christley · 2010 · The Open Epidemiology Journal
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
It is well recognised that low statistical power increases the probability of type II error, that is it reduces the probability of detecting a difference between groups, where a difference exists. Paradoxically, low statistical power also increases the likelihood that a statistically significant finding is actually falsely positive (for a given p-value). Hence, ethical concerns regarding studies with low statistical power should include the increased risk of type I error in such studies reporting statistically significant effects. This paper illustrates the effect of low statistical power by c
Abstract by Robert Christley, The Open Epidemiology Journal (2010) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.2174/1874297101003010016