Literature DB >> 23122565

Applications of ROC analysis in medical research: recent developments and future directions.

Demissie Alemayehu1, Kelly H Zou.   

Abstract

With the growing focus on comparative effectiveness research and personalized medicine, receiver-operating characteristic analysis can continue to play an important role in health care decision making. Specific applications of receiver-operating characteristic analysis include predictive model assessment and validation, biomarker diagnostics, responder analysis in patient-reported outcomes, and comparison of alternative treatment options. The authors present a survey of the potential applications of the method and briefly review several relevant extensions. Given the level of attention paid to biomarker validation, personalized medicine and comparative effectiveness research, it is highly likely that the receiver-operating characteristic analysis will remain an important visual and analytic tool for medical research and evidence-based medicine in the foreseeable future.
Copyright © 2012 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23122565     DOI: 10.1016/j.acra.2012.09.006

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  17 in total

1.  Defining Abdominal Obesity as a Risk Factor for Coronary Heart Disease in the U.S.: Results From the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Authors:  Diana A Chirinos; Maria M Llabre; Ronald Goldberg; Marc Gellman; Armando Mendez; Jianwen Cai; Daniela Sotres-Alvarez; Marta Daviglus; Linda C Gallo; Neil Schneiderman
Journal:  Diabetes Care       Date:  2020-06-19       Impact factor: 19.112

2.  Using the AUDIT-PC to predict alcohol withdrawal in hospitalized patients.

Authors:  Anna Pecoraro; Edward Ewen; Terry Horton; Ruth Mooney; Paul Kolm; Patty McGraw; George Woody
Journal:  J Gen Intern Med       Date:  2014-01       Impact factor: 5.128

3.  Multivariate normally distributed biomarkers subject to limits of detection and receiver operating characteristic curve inference.

Authors:  Neil J Perkins; Enrique F Schisterman; Albert Vexler
Journal:  Acad Radiol       Date:  2013-07       Impact factor: 3.173

4.  An additive selection of markers to improve diagnostic accuracy based on a discriminatory measure.

Authors:  Liansheng Larry Tang; Le Kang; Chunling Liu; Enrique F Schisterman; Aiyi Liu
Journal:  Acad Radiol       Date:  2013-04-20       Impact factor: 3.173

5.  Mixtures of receiver operating characteristic curves.

Authors:  Mithat Gönen
Journal:  Acad Radiol       Date:  2013-05-03       Impact factor: 3.173

Review 6.  Translational biomarkers of acetaminophen-induced acute liver injury.

Authors:  Richard D Beger; Sudeepa Bhattacharyya; Xi Yang; Pritmohinder S Gill; Laura K Schnackenberg; Jinchun Sun; Laura P James
Journal:  Arch Toxicol       Date:  2015-05-17       Impact factor: 5.153

7.  Heterogeneity and breadth of host antibody response to KSHV infection demonstrated by systematic analysis of the KSHV proteome.

Authors:  Nazzarena Labo; Wendell Miley; Vickie Marshall; William Gillette; Dominic Esposito; Matthew Bess; Alexandra Turano; Thomas Uldrick; Mark N Polizzotto; Kathleen M Wyvill; Rachel Bagni; Robert Yarchoan; Denise Whitby
Journal:  PLoS Pathog       Date:  2014-03-27       Impact factor: 6.823

8.  Disadvantages of using the area under the receiver operating characteristic curve to assess imaging tests: a discussion and proposal for an alternative approach.

Authors:  Steve Halligan; Douglas G Altman; Susan Mallett
Journal:  Eur Radiol       Date:  2015-01-20       Impact factor: 5.315

9.  A longitudinal study on α-synuclein in blood plasma as a biomarker for Parkinson's disease.

Authors:  Penelope G Foulds; Peter Diggle; J Douglas Mitchell; Angela Parker; Masato Hasegawa; Masami Masuda-Suzukake; David M A Mann; David Allsop
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

10.  Diagnostic value of serum procalcitonin, lactate, and high-sensitivity C-reactive protein for predicting bacteremia in adult patients in the emergency department.

Authors:  Chiung-Tsung Lin; Jang-Jih Lu; Yu-Ching Chen; Victor C Kok; Jorng-Tzong Horng
Journal:  PeerJ       Date:  2017-11-27       Impact factor: 2.984

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