Test for Similarity of Intra-Subject Variabilities in Crossover Design

Description

the ratio = within-subject variance of treatment T / within-subject variance of treatment R

H0: the ratio ≥ δ or the ratio ≤ \frac{1}{δ}

Ha: \frac{1}{δ} < the ratio < δ

Usage

1
CrossOver.ISV.Equivalence(alpha, beta, sigma1, sigma2, m, margin)

Arguments

alpha

significance level

beta

power = 1-beta

sigma1

within-subject variance of treatment 1

sigma2

within-subject variance of treatment 2

m

for each subject, there are m replicates.

margin

margin= δ, the true ratio of sigma1/sigma2

References

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

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