title: Bayesian sample-size determination for inference on two binomial populations with no gold standard classifier.
abstract: We consider the impact of test properties on the required sample size for the Bayesian design problem for comparing two proportions with error-prone data. Specifically, we examine four cases: a single diagnostic test and two independent diagnostic tests, both when the test properties are identical across populations and when they differ. Interval-based and moment-based sample-size determination criteria are contrasted using Monte Carlo simulation methods. We consider an application in which Strongyloides infections are compared in two populations.
authors: Department of Mathematics and Statistics, Stephen F. Austin State University, Nacogdoches, TX 75962, USA. jstamey@sfasu.edu
authors: James D
authors: JD
authors: Stamey
authors: John W
authors: JW
authors: Seaman
authors: Dean M
authors: DM
authors: Young
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D002160:Cambodia / Q000208:ethnology; D003198:Computer Simulation; D003955:Diagnostic Tests, Routine; D006801:Humans; D008853:Microscopy / Q000592:standards; D015233:Models, Statistical; D009010:Monte Carlo Method; D012036:Refugees; D012107:Research Design; D018401:Sample Size; D012699:Serology / Q000592:standards; D013321:Strongyloides / Q000302:isolation & purification; D013322:Strongyloidiasis / Q000175:diagnosis