An Implementation and Application of Network Meta-regression within Frequentist Framework_Chinese Journal of Evidence-Based Medicine

Authors：

 ZHANGTian-song

Department of TCM, Jing'an District Central Hospital, Shanghai 20004, China;

Corresponding author：

Keywords：

Network meta-regression; mvmeta command; Stata software

DOI：

10.7507/1672-2531.20150165

Video：

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Network meta-regression model can be used to account for important effect modifiers that might have impact on the treatment effects, and it can be performed within a frequentist or Bayesian framework. This study introduces how to use the mvmeta command in Stata software to implement network meta-regression within frequentist framework and briefly introduces the application of network meta-regression.

Citation： ZHANGTian-song. An Implementation and Application of Network Meta-regression within Frequentist Framework. Chinese Journal of Evidence-Based Medicine, 2015, 15(8): 988-992. doi: 10.7507/1672-2531.20150165 Copy

1.	Lumley T. Network meta-analysis for indirect treatment comparisons. Stat Med, 2002, 21(16):2313-2324.
2.	Higgins JPT, Green S (eds). Cochrane Handbook for Systematic Reviews of Interventions Version 5. 1. 0. Available at:http://www.cochrane-handbook.org.
3.	张天嵩, 钟文昭, 李博, 主编. 实用循证医学方法学. 2版, 长沙:中南大学出版社, 2014:477-526.
4.	Donahue KE, Jonas DE, Hansen RA, et al. Drug Therapy for Rheumatoid Arthritis in Adults:An Update[EB/OL]. Available at:http://www.ncbi.nlm.nih.gov/books/NBK97388/pdf/Bookshelf_NBK97388.pdf.
5.	White IR. Multivariate random-effects meta-regression:updates to mvmeta. Stata J, 2011, 11(2):255-270.
6.	Jackson D, Riley R, White IR. Multivariate meta-analysis:potential and promise. Stat Med, 2011, 30(20):2481-2498.
7.	Jackson D, White IR, Riley RD. A matrix-based method of moments for fitting the multivariate random effects model for meta-analysis and meta-regression. Biom J, 2013, 55(2):231-245.
8.	张超, 陶华, 李胜, 等. 应用Stata软件mvmeta程序包实现网状Meta分析. 中国循证医学杂志, 2014, 14(9):1150-1159.
9.	Chaimani A, Higgins JP, Mavridis D, et al. Graphical tools for network meta-analysis in STATA. PLoS One, 2013, 8(10):e76654.
10.	易跃雄, 张蔚, 刘小媛, 等. 网状Meta分析图形结果解读. 中国循证医学杂志, 2015, 15(1):103-109.
11.	Song F, Loke YK, Walsh T, et al. Methodological problems in the use of indirect comparisons for evaluating healthcare interventions:survey of published systematic reviews. BMJ, 2009, 338:b1147.
12.	Jansen JP, Fleurence R, Devine B, et al. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making:report of the ISPORT ask force on indirect treatment comparisons good research practices:Part 1. Value in Health, 2011, 14(4):417-428.
13.	刘国伟, 于莉莉, 贾洪霞, 等. 系统评价中的间接比较与网状Meta分析方法研究进展. 中国循证医学杂志, 2014, 14(10):1276-1280.
14.	Salanti G. Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis:many names, many benefits, many concerns for the next generation evidence synthesis tool. Res Syn Meth, 2012, 3(2):80-97.
15.	Dias S, Sutton AJ, Welton NJ, et al. Evidence synthesis for decision making 3:heterogeneity-subgroups, meta-regression, bias, and bias-adjustment. Med Decis Making, 2013, 33(5):618-640.
16.	White IR, Barrett JK, Jackson D, et al. Consistency and inconsistency in network meta-analysis:model estimation using multivariate meta-regression. Res Synth Methods, 2012, 3(2):111-125.

1. Lumley T. Network meta-analysis for indirect treatment comparisons. Stat Med, 2002, 21(16):2313-2324.
2. Higgins JPT, Green S (eds). Cochrane Handbook for Systematic Reviews of Interventions Version 5. 1. 0. Available at:http://www.cochrane-handbook.org.
3. 张天嵩, 钟文昭, 李博, 主编. 实用循证医学方法学. 2版, 长沙:中南大学出版社, 2014:477-526.
4. Donahue KE, Jonas DE, Hansen RA, et al. Drug Therapy for Rheumatoid Arthritis in Adults:An Update[EB/OL]. Available at:http://www.ncbi.nlm.nih.gov/books/NBK97388/pdf/Bookshelf_NBK97388.pdf.
5. White IR. Multivariate random-effects meta-regression:updates to mvmeta. Stata J, 2011, 11(2):255-270.
6. Jackson D, Riley R, White IR. Multivariate meta-analysis:potential and promise. Stat Med, 2011, 30(20):2481-2498.
7. Jackson D, White IR, Riley RD. A matrix-based method of moments for fitting the multivariate random effects model for meta-analysis and meta-regression. Biom J, 2013, 55(2):231-245.
8. 张超, 陶华, 李胜, 等. 应用Stata软件mvmeta程序包实现网状Meta分析. 中国循证医学杂志, 2014, 14(9):1150-1159.
9. Chaimani A, Higgins JP, Mavridis D, et al. Graphical tools for network meta-analysis in STATA. PLoS One, 2013, 8(10):e76654.
10. 易跃雄, 张蔚, 刘小媛, 等. 网状Meta分析图形结果解读. 中国循证医学杂志, 2015, 15(1):103-109.
11. Song F, Loke YK, Walsh T, et al. Methodological problems in the use of indirect comparisons for evaluating healthcare interventions:survey of published systematic reviews. BMJ, 2009, 338:b1147.
12. Jansen JP, Fleurence R, Devine B, et al. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making:report of the ISPORT ask force on indirect treatment comparisons good research practices:Part 1. Value in Health, 2011, 14(4):417-428.
13. 刘国伟, 于莉莉, 贾洪霞, 等. 系统评价中的间接比较与网状Meta分析方法研究进展. 中国循证医学杂志, 2014, 14(10):1276-1280.
14. Salanti G. Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis:many names, many benefits, many concerns for the next generation evidence synthesis tool. Res Syn Meth, 2012, 3(2):80-97.
15. Dias S, Sutton AJ, Welton NJ, et al. Evidence synthesis for decision making 3:heterogeneity-subgroups, meta-regression, bias, and bias-adjustment. Med Decis Making, 2013, 33(5):618-640.
16. White IR, Barrett JK, Jackson D, et al. Consistency and inconsistency in network meta-analysis:model estimation using multivariate meta-regression. Res Synth Methods, 2012, 3(2):111-125.

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