Power<50% [Power / Sample Size]

posted by BEQool  – 2024-03-01 15:26 (49 d 20:26 ago) – Posting: # 23887
Views: 592

(edited by on 2024-03-01 15:36)

❝ If any of the metrics shows power <50%, the study will fail (see this article).


Hello, is the statement above always true?

For example, in a hypothetical (and very unrealistic :-D) scenario for Cmax with PE=95%, CV=110%, 36 subjects in a 2x2x3 design we get the following 90% CI:
CI.BE(pe=0.95,n=36,design="2x2x3",CV=1.1)
   lower    upper
0.701628 1.286294


Widened acceptance limits are (the maximum ones):
scABEL(CV=1.1)
    lower     upper
0.6983678 1.4319102


So we pass the study although the power is <50%:
power.scABEL(theta0=0.95,n=36,design="2x2x3",CV=1.1)
  0.23718


Why do we pass the study if the power is below 50%?

BEQool

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