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Bayesian Sample-size Determination for Inference on Two Binomial Populations with No Gold Standard Classifier by James D. Stamey; John W. Seaman; Dean M. Young is a Mathematics article available to read on EtoBox.

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## 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. Copyright © 2005 John Wiley & Sons, Ltd.

Who reads Bayesian Sample-size Determination for Inference on Two Binomial Populations with No Gold Standard Classifier?

Author

James D. Stamey; John W. Seaman; Dean M. Young

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)

Published

2005

Language

EN

Field

Mathematics (Physical Sciences)