View source: R/TwoSampleCrossOver.Equivalence.R
TwoSampleCrossOver.Equivalence | R Documentation |
Ho: |margin| \ge delta
Ha: |margin| < delta
This test is whether the test drug is equivalent to the control in average if the null hypothesis is rejected at significant level alpha
TwoSampleCrossOver.Equivalence(alpha, beta, sigma, delta, margin)
alpha |
significance level |
beta |
power = 1-beta |
sigma |
standard deviation in crossover design |
delta |
the superiority or non-inferiority margin |
margin |
the true mean difference between a test mu2 and a control mu1 |
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
Example.3.3.4<-TwoSampleCrossOver.Equivalence(0.05,0.1,0.2,0.25,-0.1)
Example.3.3.4 # 8
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