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- W2075421067 abstract "In Reply.— We appreciate the comments of Dr Rice and Dr Rieger. Dr Rice's question deals with the difference between sensitivity and positive predictive value. Sensitivity is the probability of a positive test in patients known to have disease. Positive predictive value is the probability of disease in patients with a positive test. The two are related by Bayes' theorem, which states that positive predictive value = (sensitivity × prevalence)/(probability of a positive test). Using the sensitivity (53%), specificity (96%), and prevalence (7.94%) values given in our article, one can calculate the probability of a positive test (7.9%) and the positive predictive value for the direct antigen test (53%). That the positive predictive value and the sensitivity are numerically identical is perhaps confusing, but the figures in the article are correct. We certainly advocate treatment for sexual partners of infected women and made this point in our article. Dr Rieger wishes" @default.
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- W2075421067 date "1988-12-23" @default.
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- W2075421067 title "The Predictive Power and Cost of Screening for Chlamydia-Reply" @default.
- W2075421067 doi "https://doi.org/10.1001/jama.1988.03410240048024" @default.
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