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 for crossover design . d is not equal to 0, which is the difference of clinically importance.
1  QT.crossover(alpha, beta, pho, K, delta, gamma)

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 
gamma 
σ^2_p is the extra variance from the random period effect for the crossover design. γ=σ^2_p/σ^2 
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
1 2 3  Example.15.1.3<QT.crossover(0.05,0.2,0.8,3,0.5,0.002)
Example.15.1.3
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