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- Network meta-analysis: application and practice using R software
- Sung Ryul Shim, Seong-Jang Kim, Jonghoo Lee, Gerta Rücker
- Epidemiol Health. 2019;41:e2019013. Published online April 8, 2019
- DOI: https://doi.org/10.4178/epih.e2019013
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- 241 Web of Science
- 196 Crossref
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Abstract
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Supplementary Material -
AbstractThe objective of this study is to describe the general approaches to network meta-analysis that are available for quantitative data synthesis using R software. We conducted a network meta-analysis using two approaches: Bayesian and frequentist methods. The corresponding R packages were “gemtc” for the Bayesian approach and “netmeta” for the frequentist approach. In estimating a network meta-analysis model using a Bayesian framework, the “rjags” package is a common tool. “rjags” implements Markov chain Monte Carlo simulation with a graphical output. The estimated overall effect sizes, test for heterogeneity, moderator effects, and publication bias were reported using R software. The authors focus on two flexible models, Bayesian and frequentist, to determine overall effect sizes in network meta-analysis. This study focused on the practical methods of network meta-analysis rather than theoretical concepts, making the material easy to understand for Korean researchers who did not major in statistics. The authors hope that this study will help many Korean researchers to perform network meta-analyses and conduct related research more easily with R software.
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SummaryKorean summary
통계프로그램으로서의 R이 대세인 연구환경에서 R을 활용한 체계적인 메타분석 안내서가 요구되어지며 본 연구는 이에 대한 좋은 해답이 될 것이다. 더욱이 본 연구는 네트워크 메타분석 (Network meta-analysis)의 이론과 더불어 R을 활용한 실습위주의 내용으로 구성되어져 있어 누구나 쉽게 실행할 수 있을 것이다. 본 연구를 통하여 많은 연구자들이 보다 쉽게 본인의 연구분야에 적용하여 관련 연구가 활성화되기를 바란다. -
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- Intervention meta-analysis: application and practice using R software
- Sung Ryul Shim, Seong-Jang Kim
- Epidemiol Health. 2019;41:e2019008. Published online March 28, 2019
- DOI: https://doi.org/10.4178/epih.e2019008
- 25,810 View
- 654 Download
- 74 Web of Science
- 65 Crossref
-
Abstract
Summary
PDFSupplementary Material
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AbstractThe objective of this study was to describe general approaches for intervention meta-analysis available for quantitative data synthesis using the R software. We conducted an intervention meta-analysis using two types of data, continuous and binary, characterized by mean difference and odds ratio, respectively. The package commands for the R software were “metacont”, “metabin”, and “metagen” for the overall effect size, “forest” for forest plot, “metareg” for meta-regression analysis, and “funnel” and “metabias” for the publication bias. The estimated overall effect sizes, test for heterogeneity and moderator effect, and the publication bias were reported using the R software. In particular, the authors indicated methods for calculating the effect sizes of the target studies in intervention meta-analysis. This study focused on the practical methods of intervention meta-analysis, rather than the theoretical concepts, for researchers with no major in statistics. Through this study, the authors hope that many researchers will use the R software to more readily perform the intervention meta-analysis and that this will in turn generate further related research.
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SummaryKorean summary
통계프로그램으로서의 R이 대세인 연구환경에서 R을 활용한 체계적인 메타분석 안내서가 요구되어지며 본 연구는 이에 대한 좋은 해답이 될 것이다. 더욱이 본 연구는 메타분석 (Intervention meta-analysis)의 이론과 더불어 R을 활용한 실습위주의 내용으로 구성되어져 있어 누구나 쉽게 실행할 수 있을 것이다. 본 연구를 통하여 많은 연구자들이 보다 쉽게 본인의 연구분야에 적용하여 관련 연구가 활성화되기를 바란다. -
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- Long-term efficacy of total versus posterior partial fundoplication in patients with gastro-oesophageal reflux disease: a systematic review and meta-analysis
- Diagnostic test accuracy: application and practice using R software
- Sung Ryul Shim, Seong-Jang Kim, Jonghoo Lee
- Epidemiol Health. 2019;41:e2019007. Published online March 28, 2019
- DOI: https://doi.org/10.4178/epih.e2019007
- 25,184 View
- 721 Download
- 116 Web of Science
- 73 Crossref
-
Abstract
Summary
PDFSupplementary Material
-
AbstractThe 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.
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SummaryKorean summary
통계프로그램으로서의 R이 대세인 연구환경에서 R을 활용한 체계적인 메타분석 안내서가 요구되어지며 본 연구는 이에 대한 좋은 해답이 될 것이다. 더욱이 본 연구는 진단검사 메타분석 (Diagnostic test accuracy)의 이론과 더불어 R을 활용한 실습위주의 내용으로 구성되어져 있어 누구나 쉽게 실행할 수 있을 것이다. 본 연구를 통하여 많은 연구자들이 보다 쉽게 본인의 연구분야에 적용하여 관련 연구가 활성화되기를 바란다. -
Citations
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Journal of Evidence-Based Medicine.2024; 17(1): 119. CrossRef - Advancing accuracy in breath testing for lung cancer: strategies for improving diagnostic precision in imbalanced data
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Frontiers in Microbiology.2023;[Epub] CrossRef - The Diagnostic Power of Circulating miR-1246 in Screening Cancer: An Updated Meta-analysis
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Pediatric Pulmonology.2022; 57(8): 1931. CrossRef - How to Analyze the Diagnostic Performance of a New Test? Explained with Illustrations
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Catheterization and Cardiovascular Interventions.2022; 99(2): 286. CrossRef - Assessing the Knowledge of the Osteopathic Profession in New York City’s Eastern European Communities
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Sensors.2022; 22(9): 3594. CrossRef - Clinical Validity of 16α-[18F]Fluoro-17β-Estradiol Positron Emission Tomography/Computed Tomography to Assess Estrogen Receptor Status in Newly Diagnosed Metastatic Breast Cancer
Jasper J.L. van Geel, Jorianne Boers, Sjoerd G. Elias, Andor W.J.M. Glaudemans, Erik F.J. de Vries, Geke A.P. Hospers, Michel van Kruchten, Evelien J.M. Kuip, Agnes Jager, Willemien C. Menke-van der Houven van Oordt, Bert van der Vegt, Elisabeth G.E. de V
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Diagnostics.2022; 12(6): 1302. CrossRef - Diagnostic Accuracy of Machine Learning Models on Mammography in Breast Cancer Classification: A Meta-Analysis
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Diagnostics.2022; 12(7): 1643. CrossRef - Association of No Evidence of Disease Activity With No Long-term Disability Progression in Multiple Sclerosis
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Frontiers in Digital Health.2022;[Epub] CrossRef - Growth Differentiation Factor-15 as a Candidate Biomarker in Gynecologic Malignancies: A Meta-analysis
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Cancer Investigation.2022; 40(10): 901. CrossRef - Diagnostic accuracy of MRI techniques for treatment response evaluation in patients with brain metastasis: A systematic review and meta-analysis
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Diagnostics.2022; 12(11): 2752. CrossRef - Assessment of the accuracy of 11 different diagnostic tests for the detection of Schistosomiasis mansoni in individuals from a Brazilian area of low endemicity using latent class analysis
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Frontiers in Microbiology.2022;[Epub] CrossRef - Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis
Helga A.S. Afonso, Mariana V. Farraia, Mónica A. Vieira, João Cavaleiro Rufo
Porto Biomedical Journal.2022; 7(6): e188. CrossRef - Meta-analysis of diagnostic test accuracy studies with multiple thresholds for data integration
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Prostate Cancer and Prostatic Diseases.2021; 24(3): 596. CrossRef - Diagnosis of Alzheimer’s Disease in Developed and Developing Countries: Systematic Review and Meta-Analysis of Diagnostic Test Accuracy
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Journal of Alzheimer's Disease Reports.2021; 5(1): 15. CrossRef - Breath biopsy of breast cancer using sensor array signals and machine learning analysis
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Scientific Reports.2021;[Epub] CrossRef - Meta-Analysis and Systematic Review of the Application of Machine Learning Classifiers in Biomedical Applications of Infrared Thermography
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Osteoporosis International.2021; 32(7): 1279. CrossRef - The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis
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International Journal of Endocrinology.2021; 2021: 1. CrossRef - Immunofluorescence Targeting PBP2a Protein: A New Potential Methicillin Resistance Screening Test
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Frontiers in Veterinary Science.2021;[Epub] CrossRef - Accuracy of malaria diagnostic tests performed on non-invasively collected samples: a systematic review and meta-analysis
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