Indexes to Measure Dependence between Clinical Diagnostic Tests: A Comparative Study

• Main Authors: JOSÉ RAFAEL TOVAR, JORGE ALBERTO ACHCAR
• Format: Article
• Language: English
• Published: Universidad Nacional de Colombia 2011-12-01
• Series: Revista Colombiana de Estadística
• Subjects: Copula; Farlie Gumbel Morgenstern distribution; Gumbel distribution
• Online Access: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512011000300003&lng=en&tlng=en

In many practical situations, clinical diagnostic procedures include two or more biological traits whose outcomes are expressed on a continuous scale and are then dichotomized using a cut point. As measurements are performed on the same individual there is a likely correlation between the continuous underlying traits that can go unnoticed when the parameter estimation is done with the resulting binary variables. In this paper, we compare the performance of two different indexes developed to evaluate the dependence between diagnostic clinical tests that assume binary structure in the results with the performance of the binary covariance and two copula dependence parameters.