data2x4x4

ct9.6.4

ct9.6.8

<p>These data.frames give sample size tables calculated with 
<code>sampleN.TOST()</code> for the 2×4×4 replicate crossover design
(2-treatment 4-sequence 4-period design).</p>

ct9.6.4+ct9.6.8

Contains functions to calculate power and sample size for
various study designs used in bioequivalence studies. Use known.designs() to
see the designs supported. Power and sample size can be obtained based on
different methods, amongst them prominently the TOST procedure (two one-sided
t-tests). See README and NEWS for further information.

D. Labes

PowerTOST

Power and Sample Size for (Bio)Equivalence Studies

Detlew Labes

Helmut Schütz

Benjamin Lang

ct9.6.4+ct9.6.8 function

Author

Sample Size Tables for the 2x4x4 Replicate Crossover Design — ct9.6.4+ct9.6.8

Sample Size Tables for the 2x4x4 Replicate Crossover Design

data.frame	Description
ct9.6.4	Additive model, theta1=--0.2, theta2=+0.2 (BE limits 0.80 -- 1.20)
	approximate power via shifted non-central t-distribution
ct9.6.8	Multiplicative model, theta1=0.8, theta2=1.25 (1/theta1)
	approximate power via shifted non-central t-distribution

ct9.6.4+ct9.6.8: Sample Size Tables for the 2x4x4 Replicate Crossover Design

Description

Arguments

Author

Details

References

Examples