TwoSampleMean.Equivalence: Two Sample Mean Test for Equivalence

Description Usage Arguments References Examples

View source: R/TwoSampleMean.Equivalence.R

Description

Ho: |margin| ≥ 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

Usage

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TwoSampleMean.Equivalence(alpha, beta, sigma, k, delta, margin)

Arguments

alpha

significance level

beta

power = 1-beta

sigma

pooled standard deviation of two groups

k

k=n1/n2

Example: k=2 indicates a 1 to 2 test-control allocation.

delta

the superiority or non-inferiority margin

margin

margin=μ_2-μ_1

the true mean difference between a test mu2 and a control mu1

References

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

Examples

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Example.3.2.4<-TwoSampleMean.Equivalence(0.1,0.1,0.1,1,0.05,0.01)
Example.3.2.4 #107

TrialSize documentation built on May 30, 2017, 7:18 a.m.