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Activity Number:
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118
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Type:
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Invited
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Date/Time:
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Monday, August 4, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #300266 |
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Title:
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Bayesian Meta-Analysis of Diagnostic Test Accuracy Studies: Recent Developments
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Author(s):
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Constantine Gatsonis+ and Carolyn Rutter*+
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Companies:
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Brown University and Group Health Cooperative
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Address:
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Center for Statistical Sciences, Providence, RI, 02912, Center for Health Studies, Seattle, WA, 98101,
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Keywords:
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Hierarchical Summary ROC ; diagnostic accuracy ; meta-analysis ; hierarchical models ; diagnostic tests
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Abstract:
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Interest in evidence-based diagnosis has grown rapidly in recent years and has highlighted the need for systematic reviews in this area. We will discuss statistical methods for diagnostic accuracy studies, with a focus on studies reporting estimates of sensitivity and specificity. The need to account for between-study differences in the threshold for test positivity is a fundamental aspect of systematic reviews of test accuracy has led to Summary Receiver Operating Characteristic curve analysis. The reviews also need to account for other sources of within- and between-study heterogeneity and to address issues such as errors in the reference standard, the use of multiple cutpoints, and verification bias. We will review and compare hierarchical and mixed model methods and will conclude with a discussion of continuing challenges in both statistical technique and reporting of results.
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