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Stat Methods Med Res 2016 Aug;25(4):1359-80

Linear combination methods to improve diagnostic/prognostic accuracy on future observations.

Kang L, Liu A, Tian L

Abstract

Multiple diagnostic tests or biomarkers can be combined to improve diagnostic accuracy. The problem of finding the optimal linear combinations of biomarkers to maximise the area under the receiver operating characteristic curve has been extensively addressed in the literature. The purpose of this article is threefold: (1) to provide an extensive review of the existing methods for biomarker combination; (2) to propose a new combination method, namely, the nonparametric stepwise approach; (3) to use leave-one-pair-out cross-validation method, instead of re-substitution method, which is overoptimistic and hence might lead to wrong conclusion, to empirically evaluate and compare the performance of different linear combination methods in yielding the largest area under receiver operating characteristic curve. A data set of Duchenne muscular dystrophy was analysed to illustrate the applications of the discussed combination methods.


Category: Journal Article
PubMed ID: #23592714 DOI: 10.1177/0962280213481053
PubMed Central ID: #PMC4180010
Includes FDA Authors from Scientific Area(s): Medical Devices
Entry Created: 2013-04-18 Entry Last Modified: 2016-10-12
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