QT.PK.parallel {TrialSize} | R Documentation |
Parallel Group Design in QT/QTc Studies with PK response as covariate
Description
Ho: \mu_1 -\mu_2 = 0
Ha: \mu_1 -\mu_2 = d
The test is finding the treatment difference in QT interval. d is not equal to 0, which is the difference of clinically importance.
Usage
QT.PK.parallel(alpha, beta, pho, K, delta, v1, v2, tau1, tau2)
Arguments
alpha |
significance level |
beta |
power = 1-beta |
pho |
pho=between subject variance |
K |
There are K recording replicates for each subject. |
delta |
|
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.15.1.4.1<-QT.PK.parallel(0.05,0.2,0.8,3,0.5,1,1,4,5)
Example.15.1.4.1
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[Package TrialSize version 1.4 Index]