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Comparing Two Diagnostic Tests against the Same "Gold Standard" in the Same Sample

Daniel A. Bloch
Biometrics
Vol. 53, No. 1 (Mar., 1997), pp. 73-85
DOI: 10.2307/2533098
Stable URL: http://www.jstor.org/stable/2533098
Page Count: 13
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Comparing Two Diagnostic Tests against the Same "Gold Standard" in the Same Sample
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Abstract

Methods are proposed for comparing two diagnostic tests for the same data where a threshold for positive for each test is specified. One method contrasts the diagnostic tests' estimated risks. A second method compares the two tests' kappa coefficients. When thresholds for positive test results are specified a priori, maximum likelihood estimators and their asymptotic variances are derived and test statistics are presented for both case-control and naturalistic methods of sampling. The bootstrap is proposed as a method to assess differences in risk estimators when thresholds for positive test results are chosen by scanning the data. Examples are given to illustrate the methods.

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