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Epidemiol Health > Accepted Articles
Epidemiology and Health 2019;e2019007.
DOI: https://doi.org/10.4178/epih.e2019007    [Accepted] Published online March 28, 2019.
Diagnostic Test Accuracy: Application and Practice using R software
SUNG RYUL SHIM1,2  , SEONG-JANG KIM3,4,5  , JONGHOO LEE6 
1Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
2Urological Biomedicine Research Institute, Soonchunhyang University Hospital, Seoul, Korea
3Department of Nuclear Medicine, College of Medicine, Pusan National University, Yangsan, Korea
4BioMedical Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
5Department of Nuclear Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
6Department of Internal Medicine, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
Correspondence  SUNG RYUL SHIM ,Tel: 01035843336, Email: sungryul.shim@gmail.com
Received: March 14, 2019  Accepted after revision: March 28, 2019
Abstract
The objective of this study was to describe general approaches of diagnostic test accuracy that are available for quantitative synthesis of data using R software. We conducted a diagnostic test accuracy that summarized statistics for univariate analysis and bivariate analysis. The package commands of R software were metaprop and metabin for sensitivity, specificity, and diagnostic odds ratio, forest for forest plot, reitsma of mada for summarized ROC curve, and metareg for meta-regression analysis. The estimated overall effect sizes, test for heterogeneity and moderator effect, and a summarized ROC curve were reported using R software. Especially authors stressed how to calculate effect sizes of target studies in diagnostic test accuracy. This study focused on the practical methods of diagnostic test accuracy rather than theoretical concepts for Korean researchers who were non-majored in statistics. Through this study, authors hope that many Korean researchers will use R software to perform a diagnostic test accuracy more easily and that related research will be activated.
Keywords: Meta-analysis; Diagnostic test accuracy; Receiver-operating characteristic curve; Likelihood ratios; Nomograms; R software


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