Bioequivalence and Bioavailability Forum

Dear ElMaestro,

❝ Notes:

❝ 1: I tried to read Julious, C&L, and even the documentation for power.TOST but stil have my doubts.

Since I have done the documentation of PowerTOST I'm not able to answer until I know where your doubts are.

I will try with the fundamental relationship of approximating the non-central t-distribution with the 'shifted' central t-distribution:

pt(t, df, delta) ~ pt(t-delta, df)

Using this relationship the strategy to follow is: Use the power formulas given by Julious for the parallel group design, based on non-central t-distribution, and apply the approximation via 'shifted' central t-distribution.

Hope this helps.

BTW: Do you really need that last "Quäntchen" for speed? I can't believe that the usage of non-central t-distribution versus central t-distribution will make much a difference in a compiler environment.