Two Dependent Diagnostic Tests: Use of Copula Functions in the Estimation of the Prevalence and Performance Test Parameters Dos pruebas para diagnóstico clínico: uso de funciones copula en la estimación de la prevalencia y los parámetros de desempeño de las pruebas
In this paper, we introduce a Bayesian analysis to estimate the prevalence and performance test parameters of two diagnostic tests. We concentrated our interest in studies where the individuals with negative outcomes in both tests are not verified by a gold standard. Given that the screening tests a...
Main Authors: | JOSÉ RAFAEL TOVAR, JORGE ALBERTO ACHCAR |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidad Nacional de Colombia
2012-12-01
|
Series: | Revista Colombiana de Estadística |
Subjects: | |
Online Access: | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512012000300001 |
Similar Items
-
Adaptive Bernstein Copulas and Risk Management
by: Dietmar Pfeifer, et al.
Published: (2020-12-01) -
Tail Dependence in Financial Markets: A Dynamic Copula Approach
by: Federico Pasquale Cortese
Published: (2019-11-01) -
Bivariate copulas on the exponentially weighted moving average control chart
by: Sasigarn Kuvattana, et al.
Published: (2016-10-01) -
Multivariate copulas on the MCUSUM control chart
by: Saowanit Sukparungsee, et al.
Published: (2017-01-01) -
Estimating Drilling Cost and Duration Using Copulas Dependencies Models
by: M. Al Kindi, et al.
Published: (2017-03-01)