Crossover Design in QT/QTc Studies without covariates

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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

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QT.crossover(alpha, beta, pho, K, delta, gamma)

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

References

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

Examples

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Example.15.1.3<-QT.crossover(0.05,0.2,0.8,3,0.5,0.002)
Example.15.1.3
# 29

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