No analytic solution! [Power / Sample Size]

posted by Helmut Homepage – Vienna, Austria, 2013-02-07 13:32 (4890 d 13:09 ago) – Posting: # 9985
Views: 13,035

Hi Anu,

❝ I have used the R-code as well that you have provided. In my data (CV=40%, Ratio=1.16), through R-code sample size came 39 and with ref to the Table A3, Sample-size is between (47-104).


As Detlew already pointed out there is no analytical solution for RSABE due to the GMR-restriction (+ the 50% CV cap for EMA). Either you use the tables or you set up your own simulations.

require(PowerTOST)
sigma0  <- 0.25 # FDA's
CVwr    <- 0.4
sigmawr <- CV2se(CVwr)
L       <- exp(-log(1.25)/sigma0*sigmawr)
U       <- exp(+log(1.25)/sigma0*sigmawr)
if(CVwr <= 0.3){L <- 0.8; U <-1.25} # no scaling
for(theta0 in seq(1.15, 1.20, by=0.05)){
  sampleN.TOST(CV=CVwr, theta0=theta0, theta1=L, theta2=U, design="2x3x3")
}

+++++++++++ Equivalence test - TOST +++++++++++
            Sample size estimation
-----------------------------------------------
Study design:  partial replicate (2x3x3)
log-transformed data (multiplicative model)

alpha = 0.05, target power = 0.8
BE margins        = 0.7090232 ... 1.410391
Null (true) ratio = 1.15,  CV = 0.4

Sample size (total)
 n     power
36   0.822516

+++++++++++ Equivalence test - TOST +++++++++++
            Sample size estimation
-----------------------------------------------
Study design:  partial replicate (2x3x3)
log-transformed data (multiplicative model)

alpha = 0.05, target power = 0.8
BE margins        = 0.7090232 ... 1.410391
Null (true) ratio = 1.2,  CV = 0.4

Sample size (total)
 n     power
54   0.803675


Table A3 (FDA method, 3-period, 80% power) for CV 40% gives 47 (GMR 1.15) and 104 (GMR 1.20) subjects. Sample sizes are substantially larger (especially for GMR 1.20) due to the [0.80–1.25] restriction.

Good news: For GMR 1.16 your 39 would be correct …
Bad news:  … but only by ignoring the restriction.

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