Evaluation of Diagnostic Accuracy and its Standard Error using Constant Shape Weibull Mixture ROC Curve

Sudesh Pundir, Azahr uddin

Abstract


Receiver Operating Characteristic (ROC) Curve is a widely used classification technique in Medical Diagnosis which classifies the healthy and diseased individuals on the basis of optimal cut off value of the biomarker. In this article, we have proposed Constant Shape Weibull Mixture ROC (CSWMROC) model. The properties of CSWMROC Curve are discussed and expressions for AUC, its variance and confidence interval are derived. The estimates of AUC of CSWMROC curve are obtained using Method of Moments (MOM). Numerical example is considered to support the proposed theory.

Keywords


CSWMROC Curve, AUC, Optimal cut-off value, Method of Moments, Monte Carlo simulation.

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DOI: http://dx.doi.org/10.18187/pjsor.v12i4.1367

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Title

Evaluation of Diagnostic Accuracy and its Standard Error using Constant Shape Weibull Mixture ROC Curve

Keywords

CSWMROC Curve, AUC, Optimal cut-off value, Method of Moments, Monte Carlo simulation.

Description

Receiver Operating Characteristic (ROC) Curve is a widely used classification technique in Medical Diagnosis which classifies the healthy and diseased individuals on the basis of optimal cut off value of the biomarker. In this article, we have proposed Constant Shape Weibull Mixture ROC (CSWMROC) model. The properties of CSWMROC Curve are discussed and expressions for AUC, its variance and confidence interval are derived. The estimates of AUC of CSWMROC curve are obtained using Method of Moments (MOM). Numerical example is considered to support the proposed theory.

Date

2016-12-01

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol. 12 No. 4, 2016



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810