These data.frames give sample size tables calculated with
`sampleN.TOST()`

for the parallel group design (2 groups).

The data.frame's can be accessed by their names or by `data("name")`

.

ctSJ.VIII.10 is Table VIII, column 'level of bioequivalence 10%' from

S.A.Julious

"Tutorial in Biostatistics

Sample sizes for clinical trials with Normal data"

'Statistics in Medicine, Vol. 23, 1921-1986 (2004)

Multiplicative model, theta1=0.9, theta2=1.1111 (1/theta1), target power=90%,

power approximate via non-central t-distribution.

Attention! Julious gives sample size per group.

ctSJ.VIII.20 is Table VIII from the same source

column 'level of bioequivalence 20%'

Multiplicative model, theta1=0.8, theta2=1.25 (1/theta1), target power=90%,

power approximate via non-central t.

ctCW.III is Table III from

Chow and Wang

"On Sample Size Calculation in Bioequivalence Trials"

J. Pharmacokin. Biopharm. Vol. 28(2), 155-169 (2001)

Additive model, theta1=-0.2, theta2=+0.2 (BE limits 0.80 - 1.20), exact.

Seems the last reference is not very reliable (compare to the Table in the paper).

Scripts for creation of these data.frame's can be found in the \test
sub-directory of the package.

Comparing the results of that scripts to the corresponding data.frames can
be used for validation purposes.

PowerTOST

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.