How to compare summary estimates of different subgroups in meta-analysis_Chinese Journal of Evidence-Based Medicine

Authors：

 ZHANG Tiansong ^1,2 , ZHANG Suxian ^1,2

1. Department of TCM, Jing’an District Central Hospital, Shanghai, 20004, P.R.China;
2. Institute of Standardization, Institutes of Integrative Medicine, Fudan University, Shanghai, 20004, P.R.China;

Corresponding?author：

ZHANG Tiansong, Email: zhangtiansong@fudan.edu.cn

Keywords：

Meta-analysis; Subgroup analysis; Z test; Meta-regression; R software; Metafor

DOI：

10.7507/1672-2531.201705103

Video：

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The paper presents two statistical methods to compare summary estimates of different subgroups in meta-analysis. It also shows how to use Z test and meta-regression model with dichotomous data and continuous data in R software to explain the similarities and differences between the two statistical methods by examples.

Citation： ZHANG Tiansong, ZHANG Suxian. How to compare summary estimates of different subgroups in meta-analysis. Chinese Journal of Evidence-Based Medicine, 2017, 17(12): 1465-1470. doi: 10.7507/1672-2531.201705103 Copy

1.	Huedo-Medina TB, Sanchez-Meca J, Marin-Martinez F. Assessing heterogeneity in meta-analysis: Q and I2 index?. Psychol Methods, 2006, 11(2): 193-206.
2.	張天嵩, 董圣杰, 周支瑞. 高級 Meta 分析方法—基于 Stata 實現. 上海: 復旦大學出版社, 2015.
3.	Higgins JPT, Green S(editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available at: www.cochrane-handbook.org.
4.	Ellis G, Whitehead MA, Robinson D, et al. Comprehensive geriatric assessment for older adults admitted to hospital: meta-analysis of randomised controlled trials. BMJ, 2011, 343: d6553.
5.	魯華鵬, 李津, 王婧, 等. 肝移植術后糖尿病危險因素的 Meta 分析. 中國循證醫學雜志, 2017, 17(2): 195-205.
6.	Borenstein M, Hedges LV, Higgins JPT, et al. Introduction to meta-analysis. Chichester (UK): John Wiley & Sons, 2008: 1-421.
7.	Palmer TM, Sterne JAC (editors). Meta-analysis in stata: an updated collection from the stata journal. 2nd Edition. College Station: Stata Press, 2016: 1-259.
8.	張天嵩, 鐘文昭, 李博. 實用循證醫學方法學. 第二版. 長沙: 中南大學出版社, 2014: 1-784.
9.	Viechtbauer W. Package ‘metafor’[EB/OL] (2016-09-25). Available at: https://cran.r-project.org/web/packages/metafor/metafor.pdf.
10.	魏雪梅, 張永剛, 陶華, 等. 應用 R 軟件 meta 程序包與 metafor 程序包實現相關系數數據的 Meta 分析. 中國循證醫學雜志, 2015, 15(7): 855-860.
11.	Glickman ME, Rao SR, Schultz MR. False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies. J Clin Epidemiol. 2014, 67(8): 850-857.

1. Huedo-Medina TB, Sanchez-Meca J, Marin-Martinez F. Assessing heterogeneity in meta-analysis: Q and I2 index?. Psychol Methods, 2006, 11(2): 193-206.
2. 張天嵩, 董圣杰, 周支瑞. 高級 Meta 分析方法—基于 Stata 實現. 上海: 復旦大學出版社, 2015.
3. Higgins JPT, Green S(editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available at: www.cochrane-handbook.org.
4. Ellis G, Whitehead MA, Robinson D, et al. Comprehensive geriatric assessment for older adults admitted to hospital: meta-analysis of randomised controlled trials. BMJ, 2011, 343: d6553.
5. 魯華鵬, 李津, 王婧, 等. 肝移植術后糖尿病危險因素的 Meta 分析. 中國循證醫學雜志, 2017, 17(2): 195-205.
6. Borenstein M, Hedges LV, Higgins JPT, et al. Introduction to meta-analysis. Chichester (UK): John Wiley & Sons, 2008: 1-421.
7. Palmer TM, Sterne JAC (editors). Meta-analysis in stata: an updated collection from the stata journal. 2nd Edition. College Station: Stata Press, 2016: 1-259.
8. 張天嵩, 鐘文昭, 李博. 實用循證醫學方法學. 第二版. 長沙: 中南大學出版社, 2014: 1-784.
9. Viechtbauer W. Package ‘metafor’[EB/OL] (2016-09-25). Available at: https://cran.r-project.org/web/packages/metafor/metafor.pdf.
10. 魏雪梅, 張永剛, 陶華, 等. 應用 R 軟件 meta 程序包與 metafor 程序包實現相關系數數據的 Meta 分析. 中國循證醫學雜志, 2015, 15(7): 855-860.
11. Glickman ME, Rao SR, Schultz MR. False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies. J Clin Epidemiol. 2014, 67(8): 850-857.

Chinese Journal of Evidence-Based Medicine

How to compare summary estimates of different subgroups in meta-analysis

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