Nonparametric estimation of ROC curves based on Bayesian models when the true disease state is unknown
From MaRDI portal
Publication:2259645
DOI10.1198/108571107X178095zbMATH Open1306.62357WikidataQ57005092 ScholiaQ57005092MaRDI QIDQ2259645
Chong Wang, Bruce W. Turnbull, Soren S. Nielsen, Yrjö T. Gröhn
Publication date: 5 March 2015
Published in: Journal of Agricultural, Biological and Environmental Statistics (Search for Journal in Brave)
Related Items (5)
A mixture model for the detection ofNeosporosiswithout a gold standard ⋮ An extension of parametric ROC analysis for calculating diagnostic accuracy when underlying distributions are mixture of Gaussian ⋮ Nonparametric estimation of ROC curves based on Bayesian models when the true disease state is unknown ⋮ Bayesian analysis of a ROC curve for categorical data using a skew-binormal model ⋮ Small area estimation of receiver operating characteristic curves for ordinal data under stochastic ordering
Uses Software
This page was built for publication: Nonparametric estimation of ROC curves based on Bayesian models when the true disease state is unknown
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q2259645)