12 citations · 18 across the 5 of their papers we have counts for
5 papers
Interval estimation in three-class ROC analysis: a fairly general approach based on the empirical likelihood
Duc-Khanh To, Gianfranco Adimari, Monica Chiogna
The empirical likelihood is a powerful nonparametric tool, that emulates its parametric counterpart -- the parametric likelihood -- preserving many of its large-sample properties.…
Improving estimation of the volume under the ROC surface when data are missing not at random
Duc-Khanh To, Gianfranco Adimari, Monica Chiogna
In this paper, we propose a mean score equation-based approach to estimate the the volume under the receiving operating characteristic (ROC) surface (VUS) of a diagnostic test, und…
Estimation of the Volume Under the ROC Surface in Presence of Nonignorable Verification Bias
Khanh To Duc, Monica Chiogna, Gianfranco Adimari
The volume under the receiver operating characteristic surface (VUS) is useful for measuring the overall accuracy of a diagnostic test when the possible disease status belongs to o…
Nonparametric Estimation of ROC Surfaces Under Verification Bias
Khanh To Duc, Monica Chiogna, Gianfranco Adimari
Verification bias is a well known problem when the predictive ability of a diagnostic test has to be evaluated. In this paper, we discuss how to assess the accuracy of continuous-s…
Bias-corrected methods for estimating the receiver operating characteristic surface of continuous diagnostic tests
Khanh To Duc, Monica Chiogna, Gianfranco Adimari
Verification bias is a well-known problem that may occur in the evaluation of predictive ability of diagnostic tests. When a binary disease status is considered, various solutions…