QT.PK.crossover: Crossover Design in QT/QTc Studies with PK response as...

Description Usage Arguments References Examples

View source: R/QT.PK.crossover.R

Description

Ho: μ_1 -μ_2 = 0

Ha: μ_1 -μ_2 = d

The test is finding the treatment difference in QT interval for crossover design. d is not equal to 0, which is the difference of clinically importance.

Usage

1
QT.PK.crossover(alpha, beta, pho, K, delta, gamma, v1, v2, tau1, tau2)

Arguments

alpha

significance level

beta

power = 1-beta

pho

pho=between subject variance σ^{2}_{s}/(between subject variance σ^2_s+within subject variance σ^2_e)

K

There are K recording replicates for each subject.

delta

σ^2=σ^2_s+σ^2_e. d is the difference of clinically importance. δ = d/σ

gamma

σ^2_p is the extra variance from the random period effect for the crossover design. γ=σ^2_p/σ^2

v1

sample mean for group 1

v2

sample mean for group 2

tau1

sample variance for group 1

tau2

sample variance for group 2

References

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

Examples

1
2
3
Example.15.1.4.2<-QT.PK.crossover(0.05,0.2,0.8,3,0.5,0.002,1,1,4,5)
Example.15.1.4.2
# 29

TrialSize documentation built on July 8, 2020, 7:19 p.m.