A Bayesian algorithm for sample size determination for equivalence and non-inferiority test

Jie Wang and James Stamey

Journal of Applied Statistics, 2010, vol. 37, issue 10, 1749-1759

Abstract: Bayesian sample size estimation for equivalence and non-inferiority tests for diagnostic methods is considered. The goal of the study is to test whether a new screening test of interest is equivalent to, or not inferior to the reference test, which may or may not be a gold standard. Sample sizes are chosen by the model performance criteria of average posterior variance, length and coverage probability. In the absence of a gold standard, sample sizes are evaluated by the ratio of marginal probabilities of the two screening tests; whereas in the presence of gold standard, sample sizes are evaluated by the measures of sensitivity and specificity.

Keywords: average length criterion; average posterior variance criteria; average coverage criterion; equivalence test; non-inferiority test; sample size determination (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1080/02664760903150714

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