Deviance estimates of sample size for equivalence tests in vaccine trials.
This paper proposes a sample size procedure for both equivalence and conventional tests for the comparison of two binomial proportions, based on the signed square root of the deviance. When the comparison is based on the odds ratio, I describe an alternate 'close' conditional exact method that gives results that support those given by the deviance method. I summarize the advantages of the deviance-based method and also show that in general equivalence situations the sample size estimate depends upon the measure of comparison selected, odds ratio, risk ratio or risk difference.
Garner
J B
JB
Department of Mathematics, University College of the Fraser Valley, British Columbia, Canada.
D016010:Binomial Distribution; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D006801:Humans; D007167:Immunotherapy; D016013:Likelihood Functions; D016017:Odds Ratio; D011054:Poliovirus Vaccine, Inactivated; D011322:Primary Prevention / Q000706:statistics & numerical data*; D018401:Sample Size
D011054:Poliovirus Vaccine, Inactivated