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Article

A Bayesian Superpopulation Approach to Inference for Finite Populations Based on Imperfect Diagnostic Outcomes

2016-06-01

Abstract excerpt

Common approaches to the analysis of diagnostic outcome data in the absence of a gold standard test employ binomial distributions for the number of infected individuals in each sample, implicitly assuming that the populations are infinite or at least large in relation to the sample size. We present a theoretical framework within which this approach can be justified even for small populations, and describe how this...

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Literature Corpus work
56bbe195-1554-5fbe-a8bf-c0f124040f68
DOI
10.1007/s13253-015-0239-9
Open publication

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A Bayesian Superpopulation Approach to Inference for Finite Populations Based on Imperfect Diagnostic OutcomesDOI 10.1007/s13253-015-0239-9
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