How to implement meta-analysis using R package metaplus_Chinese Journal of Evidence-Based Medicine

Authors：

GUO Zixin ¹ , FENG Yujia ¹ , WANG Qinghua ¹ ,  ZENG Xiantao ² ,  LIU Xiaoping ²

1. Zhongnan Hospital of Wuhan University, the Second Clinical Medical College of Wuhan University, Wuhan, 430071, P.R.China;
2. Center for Evidence-Based and Transitional Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, P.R.China;

Corresponding?author：

ZENG Xiantao, Email: zengxiantao1128@163.com; LIU Xiaoping, Email: liuxiaoping2015@hotmail.com

Keywords：

Metaplus package; Meta-analysis; R software; Outlier detection

DOI：

10.7507/1672-2531.201708086

Video：

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Abstract Full text Figures/Tables Video References Cited by

R software is a free, powerful statistical and graphing software, including metafor, meta as well as metaplus packages. They can be used to conduct meta-analysis. This article introduces detailed operations of the metaplus package for meta-analysis using cases.

Citation： GUO Zixin, FENG Yujia, WANG Qinghua, ZENG Xiantao, LIU Xiaoping. How to implement meta-analysis using R package metaplus. Chinese Journal of Evidence-Based Medicine, 2018, 18(7): 763-768. doi: 10.7507/1672-2531.201708086 Copy

1.	曾憲濤, 冷衛東, 李勝, 等. 如何正確理解及使用GRADE系統. 中國循證醫學雜志, 2011, 11(9): 985-990.
2.	Sutton AJ, Abrams KR, Jones DR, et al. Methods for meta-analysis in medical research. 1st edition. John Wiley & Sons, Ltd.: London. 2000: 1-348.
3.	曾憲濤, 田國祥, 張超, 等. Meta分析系列之十五: Meta分析的進展與思考. 中國循證心血管醫學雜志, 2013, 5(6): 561-563.
4.	R Core Team (2015). R: a language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. Available at: https://www.R-project.org/.
5.	Beath KJ, Bolker B. R Core Team. Metaplus: robust meta-analysis and meta-regression, 2017. Available at: https://CRAN.R-project.org/package=metaplus.Rpackageversion0.7-9.
6.	Beath KJ. The reference manual of metaplus(2016). Available at: https://cran.r-project.org/web/packages/metaplus/metaplus.pdf.
7.	Lawlor DA, Hopker SW. The effectiveness of exercise as an intervention in the management of depression: systematic review and meta-regression analysis of randomised controlled trials. BMJ, 2001, 322(7289): 763-767.
8.	董圣杰, 曾憲濤, 郭毅. R軟件Metafor程序包在Meta分析中的應用. 中國循證醫學雜志, 2012, 12(9): 1141-1147.
9.	Beath KJ. Metaplus: an R package for the analysis of robust meta-analysis and meta-regression. R Journal, 2016, 8(1): 5-16.
10.	Johnson BT, Huedo-Medina TB. Depicting estimates using the intercept in meta-regression models: the moving constant technique. Res Synth Method, 2011, 2(3): 204-220.
11.	程里禮, 雷鵬, 陶園, 等. 基于統計學角度: 解讀固定效應模型和隨機效應模型. 中國循證心血管醫學雜志, 2017, 9(3): 261-264.
12.	Brockwell SE, Gordon IR. A comparison of statistical methods for meta-analysis. Stat Med, 2001, 20(6): 825-840.
13.	Goldstein H. Multilevel statistical models. Arnold: London, 2003.
14.	Baker R, Jackson D. A new approach to outliers in meta-analysis. Health Care Manag Sci, 2008, 11(2): 121.
15.	Lee KJ, Thompson SG. Flexible parametric models for random-effects distributions. Br J Math Stat Psychol, 2008, 27(3): 418.
16.	Beath KJ. A finite mixture method for outlier detection and robustness in meta-analysis. Res Synth Method, 2014, 5(4): 285.
17.	曾憲濤, 冷衛東, 郭毅, 等. Meta分析系列之一: Meta分析的類型. 中國循證心血管醫學雜志, 2012, 4(1): 3-5.
18.	曾憲濤, Kwong Joey SW, 田國祥, 等. Meta分析系列之二: Meta分析的軟件. 中國循證心血管醫學雜志, 2012, 4(2): 89-91.
19.	田金徽, 李倫, 楊克虎. 頻率統計方法網狀Meta分析在STATA軟件中的實現. 中國循證兒科雜志, 2014, 9(6): 472-474.
20.	徐世俠, 湯先華, 陳海青. Meta分析及RevMan軟件介紹. 中華醫學圖書情報雜志, 2009, 18(3): 61-63.
21.	鄢金柱, 李勝, 翁鴻, 等. 應用SAS軟件宏命令實現二分類數據的Meta分析. 中國循證心血管醫學雜志, 2014, 6(2): 121-124.
22.	Viechtbauer W. Conducting meta-analyses in r with the metafor package. J of Stat Soft, 2010, 36(3): 1-48.

1. 曾憲濤, 冷衛東, 李勝, 等. 如何正確理解及使用GRADE系統. 中國循證醫學雜志, 2011, 11(9): 985-990.
2. Sutton AJ, Abrams KR, Jones DR, et al. Methods for meta-analysis in medical research. 1st edition. John Wiley & Sons, Ltd.: London. 2000: 1-348.
3. 曾憲濤, 田國祥, 張超, 等. Meta分析系列之十五: Meta分析的進展與思考. 中國循證心血管醫學雜志, 2013, 5(6): 561-563.
4. R Core Team (2015). R: a language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. Available at: https://www.R-project.org/.
5. Beath KJ, Bolker B. R Core Team. Metaplus: robust meta-analysis and meta-regression, 2017. Available at: https://CRAN.R-project.org/package=metaplus.Rpackageversion0.7-9.
6. Beath KJ. The reference manual of metaplus(2016). Available at: https://cran.r-project.org/web/packages/metaplus/metaplus.pdf.
7. Lawlor DA, Hopker SW. The effectiveness of exercise as an intervention in the management of depression: systematic review and meta-regression analysis of randomised controlled trials. BMJ, 2001, 322(7289): 763-767.
8. 董圣杰, 曾憲濤, 郭毅. R軟件Metafor程序包在Meta分析中的應用. 中國循證醫學雜志, 2012, 12(9): 1141-1147.
9. Beath KJ. Metaplus: an R package for the analysis of robust meta-analysis and meta-regression. R Journal, 2016, 8(1): 5-16.
10. Johnson BT, Huedo-Medina TB. Depicting estimates using the intercept in meta-regression models: the moving constant technique. Res Synth Method, 2011, 2(3): 204-220.
11. 程里禮, 雷鵬, 陶園, 等. 基于統計學角度: 解讀固定效應模型和隨機效應模型. 中國循證心血管醫學雜志, 2017, 9(3): 261-264.
12. Brockwell SE, Gordon IR. A comparison of statistical methods for meta-analysis. Stat Med, 2001, 20(6): 825-840.
13. Goldstein H. Multilevel statistical models. Arnold: London, 2003.
14. Baker R, Jackson D. A new approach to outliers in meta-analysis. Health Care Manag Sci, 2008, 11(2): 121.
15. Lee KJ, Thompson SG. Flexible parametric models for random-effects distributions. Br J Math Stat Psychol, 2008, 27(3): 418.
16. Beath KJ. A finite mixture method for outlier detection and robustness in meta-analysis. Res Synth Method, 2014, 5(4): 285.
17. 曾憲濤, 冷衛東, 郭毅, 等. Meta分析系列之一: Meta分析的類型. 中國循證心血管醫學雜志, 2012, 4(1): 3-5.
18. 曾憲濤, Kwong Joey SW, 田國祥, 等. Meta分析系列之二: Meta分析的軟件. 中國循證心血管醫學雜志, 2012, 4(2): 89-91.
19. 田金徽, 李倫, 楊克虎. 頻率統計方法網狀Meta分析在STATA軟件中的實現. 中國循證兒科雜志, 2014, 9(6): 472-474.
20. 徐世俠, 湯先華, 陳海青. Meta分析及RevMan軟件介紹. 中華醫學圖書情報雜志, 2009, 18(3): 61-63.
21. 鄢金柱, 李勝, 翁鴻, 等. 應用SAS軟件宏命令實現二分類數據的Meta分析. 中國循證心血管醫學雜志, 2014, 6(2): 121-124.
22. Viechtbauer W. Conducting meta-analyses in r with the metafor package. J of Stat Soft, 2010, 36(3): 1-48.

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