Intervention meta-analysis: application and practice using R software / 한국역학회지
Epidemiology and Health
;
: e2019008-2019.
Artículo
en Inglés
| WPRIM
| ID: wpr-763754
ABSTRACT
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.
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WPRIM (Pacífico Occidental)
Asunto principal:
Características de la Población
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Oportunidad Relativa
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Bosques
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Esperanza
Tipo de estudio:
Estudio de etiología
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Revisiones Sistemáticas Evaluadas
Idioma:
Inglés
Revista:
Epidemiology and Health
Año:
2019
Tipo del documento:
Artículo
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