Performing Meta-Analysis of Dose-Response Data Using dosresmeta and mvmeta Packages in R_Chinese Journal of Evidence-Based Medicine

Authors：

 XUChang ^1,2 , ZENGXian-tao ^2,3,4,5 , ZHANGChao ^2,3,4,5 , LISheng ^1,2,4 , ZHANGYong-gang ⁵ ,  LIUTong-zu ^1,2,4

1. Department of Urology, Zhongnan Hospital, Wuhan University, Wuhan 430071, China;
2. Center for Evidence-based Medicine and Translational Research, Zhongnan Hospital, Wuhan University, Wuhan 430071, China;
3. Center for Evidence-based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China;
4. Center for Evidence-based Medicine and Translational Research, Wuhan University, Wuhan 430071, China;
5. Clinical Research and Evaluation Unit, Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China;

Corresponding author：

LIUTong-zu, Email: liutongzuwhu@163.com

Keywords：

Meta-analysis; Dose-response relationship; R; mvmeta package; dosresmeta package; Quadratic function; Restricted cubic spline

DOI：

10.7507/1672-2531.20150079

Video：

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Dose-response meta-analysis, an important tool in investigating the relationship between a certain exposure and risk of disease, has been increasingly applied. Traditionally, the dose-response meta-analysis was only modelled as linearity. However, since the proposal of more powerful function models, which contains both linear, quadratic, cubic or more higher order term within the regression model, the non-linearity model of dose-response relationship is also available. The packages suit for R are available now. In this article, we introduced how to conduct a dose-response meta-analysis using dosresmeta and mvmeta packages in R.

Citation： XUChang, ZENGXian-tao, ZHANGChao, LISheng, ZHANGYong-gang, LIUTong-zu. Performing Meta-Analysis of Dose-Response Data Using dosresmeta and mvmeta Packages in R. Chinese Journal of Evidence-Based Medicine, 2015, 15(4): 479-483. doi: 10.7507/1672-2531.20150079 Copy

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2.	曾宪涛, 主编. 应用STATA做Meta分析. 北京:军事医学科学出版社, 2014:92-100.
3.	曾宪涛, 田国祥, 张超, 等. Meta分析系列之十五:Meta分析的进展与思考. 中国循证心血管学杂志, 2013, 5(6):561-563, 587.
4.	Crippa A. Dosresmeta:Performing multivariate dose-response meta-analysis. Version 1.3.0. Available at:http://cran.r-project.org/web/packages/dosresmeta/index.html.
5.	Jackson D, Riley R, White IR. Multivariate meta-analysis:potential and promise. Stat Med, 2011, 30(20):2481-2498.
6.	White IR. Multivariate random-effects meta-regression:updates to mvmeta. Stata J, 2011, 11(2):255-270.
7.	董圣杰, 曾宪涛, 郭毅. R软件Metafor程序包在Meta分析中的应用. 中国循证医学杂志, 2012, 12(9):1141-1147.
8.	Liu Q, Cook NR, BergströmA, et al. A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data. Comput Stat Data An, 2009, 53(12):4157-4167.
9.	Royston P. A strategy for modelling the effect of a continuous covariate in medicine and epidemiology. Stat Med, 2000, 19(14):1831-1847.
10.	Orsini N, Li R, Wolk A, et al. Meta-analysis for linear and nonlinear dose-response relations:examples, an evaluation of approximations, and software. Am J Epidemiol, 2012, 175(1):66-73.
11.	Brigham JC, Aquino W, Aguilo MA, et al. A Spectral Finite Element Approach to Modeling Soft Solids Excited with High-Frequency Harmonic Loads. Comput Methods Appl Mech Eng, 2011, 200(5-8):692-698.
12.	陈希孺, 主编. 数理统计学教程. 合肥:中国科学技术大学出版社, 2009:50-91.
13.	曾宪涛, 张超, 郭毅. R软件R2WinBUGS程序包在网状Meta分析中的应用. 中国循证医学杂志, 2013, 13(9):1137-1144.
14.	鄢金柱, 李胜, 翁鸿, 等. 应用SAS软件宏命令实现二分类数据的Meta分析. 中国循证心血管医学杂志, 2014, 6(2):121-124.
15.	鄢金柱, 翁鸿, 冷卫东, 等. 诊断准确性试验Meta分析分层受试者工作特征曲线的SAS实现. 湖北医药学院学报, 2014, 33(4):365-369.
16.	鄢金柱, 吴平勇, 张超, 等. 应用SAS软件PROC MCMC过程实现网状Meta分析. 中国循证医学杂志, 2014, 14(8):1004-1008.

1. Berlin JA, Longnecker MP, Greenland S. Meta-analysis of epidemiologic dose-response data. Epidemiology, 1993, 4(3):218-228.
2. 曾宪涛, 主编. 应用STATA做Meta分析. 北京:军事医学科学出版社, 2014:92-100.
3. 曾宪涛, 田国祥, 张超, 等. Meta分析系列之十五:Meta分析的进展与思考. 中国循证心血管学杂志, 2013, 5(6):561-563, 587.
4. Crippa A. Dosresmeta:Performing multivariate dose-response meta-analysis. Version 1.3.0. Available at:http://cran.r-project.org/web/packages/dosresmeta/index.html.
5. Jackson D, Riley R, White IR. Multivariate meta-analysis:potential and promise. Stat Med, 2011, 30(20):2481-2498.
6. White IR. Multivariate random-effects meta-regression:updates to mvmeta. Stata J, 2011, 11(2):255-270.
7. 董圣杰, 曾宪涛, 郭毅. R软件Metafor程序包在Meta分析中的应用. 中国循证医学杂志, 2012, 12(9):1141-1147.
8. Liu Q, Cook NR, BergströmA, et al. A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data. Comput Stat Data An, 2009, 53(12):4157-4167.
9. Royston P. A strategy for modelling the effect of a continuous covariate in medicine and epidemiology. Stat Med, 2000, 19(14):1831-1847.
10. Orsini N, Li R, Wolk A, et al. Meta-analysis for linear and nonlinear dose-response relations:examples, an evaluation of approximations, and software. Am J Epidemiol, 2012, 175(1):66-73.
11. Brigham JC, Aquino W, Aguilo MA, et al. A Spectral Finite Element Approach to Modeling Soft Solids Excited with High-Frequency Harmonic Loads. Comput Methods Appl Mech Eng, 2011, 200(5-8):692-698.
12. 陈希孺, 主编. 数理统计学教程. 合肥:中国科学技术大学出版社, 2009:50-91.
13. 曾宪涛, 张超, 郭毅. R软件R2WinBUGS程序包在网状Meta分析中的应用. 中国循证医学杂志, 2013, 13(9):1137-1144.
14. 鄢金柱, 李胜, 翁鸿, 等. 应用SAS软件宏命令实现二分类数据的Meta分析. 中国循证心血管医学杂志, 2014, 6(2):121-124.
15. 鄢金柱, 翁鸿, 冷卫东, 等. 诊断准确性试验Meta分析分层受试者工作特征曲线的SAS实现. 湖北医药学院学报, 2014, 33(4):365-369.
16. 鄢金柱, 吴平勇, 张超, 等. 应用SAS软件PROC MCMC过程实现网状Meta分析. 中国循证医学杂志, 2014, 14(8):1004-1008.

Chinese Journal of Evidence-Based Medicine

Performing Meta-Analysis of Dose-Response Data Using dosresmeta and mvmeta Packages in R

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