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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedMa X, Chen Y, Cole SR
A hybrid Bayesian hierarchical model combining cohort and case-control studies for meta-analysis of diagnostic tests: accounting for partial verification bias.
In this paper, the authors proposed a novel hybrid Bayesian hierarchical model combining cohort and case-control studies while simultaneously correcting partial verification bias. They presented two case studies on assessing the diagnostic accuracy of gadolinium-enhanced magnetic resonance imaging in detecting lymph node metastases and of adrenal fluorine-18 fluorodeoxyglucose positron emission tomography in characterizing adrenal masses.
AHRQ-funded; HS022900.
Citation: Ma X, Chen Y, Cole SR .
A hybrid Bayesian hierarchical model combining cohort and case-control studies for meta-analysis of diagnostic tests: accounting for partial verification bias.
Stat Methods Med Res 2016 Dec;25(6):3015-37. doi: 10.1177/0962280214536703.
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Keywords: Cancer, Diagnostic Safety and Quality, Imaging, Research Methodologies