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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Dades bibliogràfiques
Autors principals:	Johny Pambabay-Calero, Sergio Bauz-Olvera, Ana Nieto-Librero, Ana Sánchez-García, Puri Galindo-Villardón
Format:	Article
Idioma:	English
Publicat:	MDPI AG 2021-06-01
Col·lecció:	Mathematics
Matèries:	copula function binary covariance Bayesian hierarchical model Markov chain Monte Carlo
Accés en línia:	https://www.mdpi.com/2227-7390/9/11/1310

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