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KMID : 1155220160410030351
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Journal of the Korean Society of Health Information and Health Statistics
2016 Volume.41 No. 3 p.351 ~ p.358
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Dose-response Meta-analysis Using STATA Software
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Shim Sung-Ryul
Shin In-Soo
Yoon Byung-Ho
Bae Jong-Myon
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Abstract
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Objectives: There is increasing number of research using the dose-response meta-analyses (DRMA) in healthcare research field. However, authors can-not find anyinformative article for Korean researchers to conduct DRMA. The aim of this study was to demonstrate the DRMA using STATA software in order to encourage a conduction of DRMA.
Methods: Authors summarized key commands for DRMA of the STATA software. To explain the results, we conducted a DRMA using categorical data that included odds ratios and their 95% confidence intervals.
Results: The effect size according to dose and test for linearity were demonstrated and interpreted through analyzing one- and two-stage DRMA. Authors stressed that the estimated dose-response relative risk, test for heterogeneity and non-linearity, and graph should be reported using STATA in one stage and two state DRMA.
Conclusions: Authors summarized commands of the STATA software related to DRMA in order to encourage readers to conduct and evaluate the DRMA systematically and comprehensively.
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KEYWORD
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Meta-analysis, Dose-response, Heterogeneity, Non-linearity, STATA
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