Abstract Details
Activity Number:
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363
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Type:
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Contributed
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Date/Time:
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Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract #316933
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View Presentation
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Title:
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Using Available Information in the Assessment of Diagnostic Protocols
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Author(s):
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Cecilia Cotton* and Oana Danila and Stefan Steiner and Daniel Severn and R. Jock MacKay
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Companies:
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University of Waterloo and University of Waterloo and University of Waterloo and University of Waterloo and University of Waterloo
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Keywords:
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binary diagnostic test ;
sensitivity ;
specificity ;
likelihood ratios ;
combined tests ;
baseline data
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Abstract:
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A new binary screening or diagnostic test may be combined sequentially with an existing test using either a believe the positive or believe the negative protocol. Interest then lies in estimating the properties of the new combined protocol and in comparing the new protocol with the existing test via sensitivity, specificity, or likelihood ratios that capture the trade-off between sensitivity and specificity. We consider a paired assessment study with complete verification via a gold standard. Our goal is to quantify the gain in precision for the estimators of the sensitivity, specificity and the ratio of likelihood ratios in protocols when baseline information on the performance of the existing test is available. We find maximum likelihood estimators of the quantities of interest and derive their asymptotic standard deviations. The methods are illustrated using previously published mammography and ultrasound test results from a cohort of symptomatic women.
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Authors who are presenting talks have a * after their name.
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