Diagnostic test accuracy: application and practice using R software

• 발행기관: 한국역학회
• 저자명: Sung Ryul Shim Seong-Jang Kim Jonghoo Lee
• 간행물 정보: 『Epidemiology and Health』41, 1~8쪽, 전체 8쪽
• 주제분류: 의약학 > 면역학
• 파일형태: PDF
• 발행일자: 2019.01.01

영문 초록

The objective of this paper is to describe general approaches of diagnostic test accuracy (DTA) that are available for the quantitative synthesis of data using R software. We conduct a DTA that summarizes 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 a summarized receiver-operating characteristic (ROC) curve; and “metareg” for meta-regression analysis. The estimated total effect sizes, test for heterogeneity and moderator effect, and a summarized ROC curve are reported using R software. In particular, we focus on how to calculate the effect sizes of target studies in DTA. This study focuses on the practical methods of DTA rather than theoretical concepts for researchers whose fields of study were non-statistics related. By performing this study, we hope that many researchers will use R software to determine the DTA more easily, and that there will be greater interest in related research.

목차

INTRODUCTION

UNDERSTANDING DIAGNOSTIC TEST ACCURACY

DIAGNOSTIC TEST ACCURACY USING THE “mada” AND “meta” PACKAGES OF R

CONCLUSION

SUPPLEMENTARY MATERIALS

CONFLICT OF INTEREST

ACKNOWLEDGEMENTS

ORCID

REFERENCES

키워드

Meta-analysis Diagnostic test accuracy Receiver-operating characteristic curve Likelihood ratios Mada Reitsma