Intervention meta-analysis: application and practice using R software

• 발행기관: 한국역학회
• 저자명: Sung Ryul Shim Seong-Jang Kim
• 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 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.

목차

INTRODUCTION

UNDERSTANDING THE EFFECT SIZE

INTERVENTION META-ANALYSIS USING THE R “meta” PACKAGE

CONCLUSION

SUPPLEMENTARY MATERIALS

CONFLICT OF INTEREST

ACKNOWLEDGEMENTS

ORCID

REFERENCES

키워드

Meta-analysis Meta-regression Forest plot Heterogeneity Publication bias R software