Hierarchical Modeling for Diagnostic Test Accuracy Using Multivariate Probability Distribution Functions

Hierarchical Modeling for Diagnostic Test Accuracy Using Multivariate Probability Distribution Functions

Models implemented in statistical software for the precision analysis of diagnostic tests include random-effects modeling (bivariate model) and hierarchical regression (hierarchical summary receiver operating characteristic). However, these models do not provide an overall mean, but calculate the me...

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Bibliographic Details
Main Authors: Johny Pambabay-Calero, Sergio Bauz-Olvera, Ana Nieto-Librero, Ana Sánchez-García, Puri Galindo-Villardón
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
copula function
binary covariance
Bayesian hierarchical model
Markov chain Monte Carlo
Online Access:https://www.mdpi.com/2227-7390/9/11/1310

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https://www.mdpi.com/2227-7390/9/11/1310

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