PE at border of the AR: power ≡ 0.05 ? [Power / Sample Size]

posted by d_labes  – Berlin, Germany, 2016-01-13 14:21 (3322 d 02:12 ago) – Posting: # 15824
Views: 12,124

Dear Helmut,

❝ ... When we are considering TOST, it’s simple: Power curves for any sample size intersect at the limits of the BE acceptance range with power exactly 0.05.


Really? Have a look onto this:
power.TOST(CV=0.3, theta0=1.25, n=1002, design="2x3x3")
[1] 0.05
power.TOST(CV=0.3, theta0=1.25, n=102, design="2x3x3")
[1] 0.05
power.TOST(CV=0.3, theta0=1.25, n=30, design="2x3x3")
[1] 0.0499998
power.TOST(CV=0.3, theta0=1.25, n=18, design="2x3x3")
[1] 0.0497759
power.TOST(CV=0.3, theta0=1.25, n=15, design="2x3x3")
[1] 0.04881418
power.TOST(CV=0.3, theta0=1.25, n=12, design="2x3x3")
[1] 0.04446453

Seems your statement "... any sample size ... with power exactly 0.05." is not thoroughly correct :cool:.
Think about "The TOST procedure can be quite conservative, i.e. the achieved Type I error rate may be lower than the nominal 0.05 significance level"1 or "TOST is not the most powerful test".

(Count up: post 993)

1Jones B, Kenward MG.
Design and analysis of cross-over trials.
Boca Raton: Chapman & Hall/CRC; 3rd ed 2014
Chapter 13, Introduction

(Count up: post 993)

Regards,

Detlew

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