TwoSampleMean.Equivalence: Two Sample Mean Test for Equivalence

In TrialSize: R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size Calculation in Clinical Research

Two Sample Mean Test for Equivalence

Description

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

Usage

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=\mu_2-\mu_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

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 April 12, 2025, 2:01 a.m.