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

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

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

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

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