Statistical power is a useful but often misunderstood concept. Briefly, it represents
the probability of rejecting a null hypothesis under some assumed conditions of a
prospective experiment (distribution of the study outcome, planned sample size, and
prespecified significance level to be used in the analysis). Most generally, we compute
statistical power while planning comparative-effectiveness trials to ensure that the
study will be large enough to conclude that an effect is present, if a meaningful
effect truly exists.
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References
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Article info
Publication history
Published online: August 16, 2020
Accepted:
October 1,
2019
Received:
September 30,
2019
Footnotes
Authors' contributions: the sole author conceived, wrote, and submitted the article.
Identification
Copyright
© 2020 Elsevier Inc. All rights reserved.
