Contains functions to calculate power and sample size distribution
of 2-stage BE studies with a 2x2 crossover design according to
Potvin et.al. / Montague et. al. modified to include a futility Nmax
and modified to do the sample size estimation step with PE and mse
of stage 1 as well as the power calculation steps according to
Karalis & Macheras.
The third function calculates power and sample size distribution
of 2-stage BE studies with a futility criterion for the point
estimator of T/R from stage 1.
The fourth function calculates power of non-adaptive group
sequential (2-stage) BE studies.
The fifth function calculates power and sample size distribution
of 2-stage BE studies in 2 parallel groups.

Contains a function to calculate power and sample size distribution
of 2-stage BE studies with a 2x2 crossover design according to
Potvin et al. / Montague et al. modified to include a futility Nmax
and modified to do the sample size estimation step with PE and mse
of stage 1. Contains further a function with the modifications
according to Karalis & Macheras which use PE and mse from stage 1
also for the power monitoring steps.
The third function power.2stage.fC() calculates power and sample
size distribution of 2-stage BE studies with a futility criterion
for the point estimator or CI of T/R from stage 1.
The fourth function power.2stage.GS() calculates power of non-adaptive
group sequential (2-stage) BE studies.
The fifth function power.2stage.p() calculates power and sample size
distribution of 2-stage BE studies with 2 parallel groups.

Power and Sample-size Distribution of 2-stage Bioequivalence
Studies
- Contains a function to calculate power and sample-size distribution
of 2-stage bioequivalence (BE) studies with a 2x2 crossover design
according to Potvin et al. / Montague et al. modified to include a
futility Nmax and modified to do the sample size estimation step
with PE and mse of stage 1.
- Contains further a function with the modifications according to
Karalis & Macheras which use PE and mse from stage 1 also for the
power monitoring steps.
- The third function power.2stage.fC() calculates power and sample
size distribution of 2-stage BE studies with a futility criterion
for the point estimator or CI of T/R from stage 1.
- The fourth function power.2stage.GS() calculates power of non-adaptive
group sequential (2-stage) BE studies.
- The fifth function power.2stage.p() calculates power and sample size
distribution of 2-stage BE studies with 2 parallel groups.
- Another function power.2stage.ssr() allows the power calculation
for 2-stage studies with (blinded) interim sample size re-estimation.
All the functions use simulations to obtain their results.