On testing equivalence of three populations.
We consider analysis of clinical trials in which the objective is to show that three populations are equivalent. Equivalence is defined in terms of delta, the maximum difference in population means; a one-sided hypothesis test of delta is considered. We provide the distribution of the maximum pairwise difference in sample means, and we use this distribution to find critical values for tests of size 0.100, 0.050, 0.025, and 0.010. When standard errors are not equal among the three treatments, a simple adjustment is proposed to control the type I error rate. These tests are applied to studying the equivalence of three binomial proportions. Test-based confidence intervals are discussed. Two examples illustrate the proposed methods.
Wiens
B L
BL
Quintiles, Inc., Kansas City, Missouri 64134-0708, USA.
Iglewicz
B
B
D000704:Analysis of Variance; D016010:Binomial Distribution; D001699:Biometry / Q000379:methods; D002626:Chemistry, Pharmaceutical / Q000379:methods* / Q000706:statistics & numerical data; D002986:Clinical Trials as Topic / Q000379:methods* / Q000706:statistics & numerical data; D018073:Haemophilus Vaccines / Q000493:pharmacokinetics; D017325:Hepatitis B Vaccines / Q000493:pharmacokinetics; D006801:Humans; D007223:Infant; D008432:Mathematical Computing; D013810:Therapeutic Equivalency; D018074:Vaccines, Conjugate / Q000378:metabolism; D014614:Vaccines, Synthetic / Q000378:metabolism
C104289:COMVAX; D018073:Haemophilus Vaccines; D017325:Hepatitis B Vaccines; D018074:Vaccines, Conjugate; D014614:Vaccines, Synthetic