Nonparametric Predictive Inference for Diagnostic Accuracy

Coolen-Maturi, Tahani and Coolen-Schrijner, Pauline and Coolen, Frank P. A. (2012) Nonparametric Predictive Inference for Diagnostic Accuracy. Journal of Statistical Planning and Inference, 142 (5). pp. 1141-1150. ISSN 0378-3758. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1016/j.jspi.2011.11.015

Abstract

Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine and health care. Good methods for determining diagnostic accuracy provide useful guidance on selection of patient treatment, and the ability to compare different diagnostic tests has a direct impact on quality of care. In this paper Nonparametric Predictive Inference (NPI) methods for accuracy of diagnostic tests with continuous test results are presented and discussed. For such tests, Receiver Operating Characteristic (ROC) curves have become popular tools for describing the performance of diagnostic tests. We present the NPI approach to ROC curves, and some important summaries of these curves. As NPI does not aim at inference for an entire population but instead explicitly considers a future observation, this provides an attractive alternative to standard methods. We show how NPI can be used to compare two continuous diagnostic tests.

Item Type: Article
Uncontrolled keywords: Area under the ROC curve (AUC); Diagnostic accuracy; Lower and upper probability; Nonparametric Predictive Inference (NPI); Partial area under the ROC curve (pAUC); Receiver Operating Characteristic (ROC)
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Depositing User: Karen Finch
Date Deposited: 19 Jan 2012 13:38
Last Modified: 12 Jun 2014 09:56
Resource URI: http://kar.kent.ac.uk/id/eprint/28618 (The current URI for this page, for reference purposes)
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