Abstract Details
Activity Number:
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550
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Type:
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Contributed
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Date/Time:
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Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #308172 |
Title:
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From Tissue Culture to Discrepant Analysis to Patient-Infected Status Algorithm to Latent Class Models: The Good, the Bad, and the Ugly
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Author(s):
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Alula Hadgu*+
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Companies:
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Centers of Disease Control and Prevention
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Keywords:
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Chlamydia trachomatis ;
sensitivity ;
specificity ;
patient infected status algorithm ;
discrepant analysis ;
latent class models
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Abstract:
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Evaluation of new diagnostic tests in the absence of a gold-standard test is a complex and difficult task. In the medical and microbiologic literature, typically three estimation approaches have been used for evaluating the sensitivity and specificity of Chlamydia trachomatis tests: i) assuming tissue culture as a gold standard, (ii) the use of discrepant analysis, and (iii) the patient infected status algorithm (PISA). The objective of this work is to demonstrate that these ad-hoc parameter estimation approaches can result in seriously biased estimates of prevalence, sensitivity and specificity. The second objective is to compare the results of these ad-hoc estimation methods with latent class model estimates.
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Authors who are presenting talks have a * after their name.
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