Description Usage Arguments References Examples
Ho: μ_1 μ_2 = 0
Ha: μ_1 μ_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.
1  QT.parallel(alpha, beta, pho, K, delta)

alpha 
significance level 
beta 
power = 1beta 
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 
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
1 2 3  Example.15.1.2<QT.parallel(0.05,0.2,0.8,3,0.5)
Example.15.1.2
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