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...
Κύριοι συγγραφείς: | Johny Pambabay-Calero, Sergio Bauz-Olvera, Ana Nieto-Librero, Ana Sánchez-García, Puri Galindo-Villardón |
---|---|
Μορφή: | Άρθρο |
Γλώσσα: | English |
Έκδοση: |
MDPI AG
2021-06-01
|
Σειρά: | Mathematics |
Θέματα: | |
Διαθέσιμο Online: | https://www.mdpi.com/2227-7390/9/11/1310 |
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
A hierarchical Bayesian approach for calibration of stochastic material models
ανά: Nikolaos Papadimas, κ.ά.
Έκδοση: (2021-01-01) -
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
ανά: Hester Huijsdens, κ.ά.
Έκδοση: (2024-08-01) -
MULTIPARAMETRIC AND HIERARCHICAL SPATIAL AUTOREGRESSIVE MODELS: THE EVALUATION OF THE MISSPECIFICATION OF SPATIAL EFFECTS USING A MONTE CARLO SIMULATION
ανά: Edyta Łaszkiewicz
Έκδοση: (2014-05-01) -
The Effect of Average of the Stock return, Expected Growth, Profitability and Asset Structure of Peer Firms on Investment Management Strategy Using Markov chain Monte Carlo Simulation and Hierarchical Bayes
ανά: Mohammad Ebrahimi, κ.ά.
Έκδοση: (2019-06-01) -
Modeling Joint Relationship and Design Scenarios Between Precipitation, Surface Temperature, and Atmospheric Precipitable Water Over Mainland China
ανά: Olusola Olaitan Ayantobo, κ.ά.
Έκδοση: (2021-04-01)