Carry.Over: Test the Carry-over effect

In TrialSize: R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size Calculation in Clinical Research

Test the Carry-over effect

Description

2 by 2 crossover design. Test the treatment-by-period interaction (carry-over effect)

H0: the difference of the two sequence carry-over effects is equal to 0

Ha: not equal to 0

The test is finding whether there is a difference between the carry-over effect for sequence AB and BA.

Usage

Carry.Over(alpha, beta, sigma1, sigma2, gamma)

Arguments

alpha	significance level
beta	power = 1-beta
sigma1	standard deviation of sequence AB
sigma2	standard deviation of sequence BA
gamma	the difference of carry-over effect between sequence AB and BA

References

Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003

Examples

Example.6.5.2<-Carry.Over(0.025,0.2,2.3,2.4,0.89)
Example.6.5.2 # 110

TrialSize documentation built on April 12, 2025, 2:01 a.m.