Implementation of Trial Sequential Analysis using Stata Software_Chinese Journal of Evidence-Based Medicine

Authors：

 WENGHong ¹ , LISheng ¹ , HEFa-zhi ² , YANGLin ³ , LIUTong-zu ⁴ ,  ZENGXian-tao ^1,4

1. Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University;Center for Evidence-Based and Translational Medicine, Wuhan University;Department of Evidence-Based Medicine and Clinical Epidemiology, The Second Clinical Medical College of Wuhan University, Wuhan 430071, China;
2. Institute of Computer Applications, Computer School of Wuhan University, Wuhan 430072;
3. Department of Urology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China;
4. Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China;

Corresponding?author：

ZENGXian-tao, Email: zengxiantao1128@163.com

Keywords：

Trial sequential analysis; Meta-analysis; Stata software

DOI：

10.7507/1672-2531.20160220

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Trial sequential analysis (TSA) could be performed in both TSA software and Stata software. The implementation process of TSA in Stata needs the command of "metacumbounds" of Stata combines with the packages of "foreign" and "ldbounds" of R software. This paper briefly introduces how to implement TSA using Stata software.

Citation： WENGHong, LISheng, HEFa-zhi, YANGLin, LIUTong-zu, ZENGXian-tao. Implementation of Trial Sequential Analysis using Stata Software. Chinese Journal of Evidence-Based Medicine, 2016, 16(12): 1472-1476. doi: 10.7507/1672-2531.20160220 Copy

1.	Pogue JM, Yusuf S. Cumulating evidence from randomized trials:Utilizing sequential monitoring boundaries for cumulative meta-analysis. Control Clin Trials, 1997, 18(6):580-593.
2.	Brok J, Thorlund K, Gluud C, et al. Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses. J Clin Epidemiol, 2008, 61(8):763-769.
3.	Wetterslev J, Thorlund K, Brok J, et al. Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis. J Clin Epidemiol, 2008, 61(1):64-75.
4.	Brok J, Thorlund K, Wetterslev J, et al. Apparently conclusive meta-analyses may be inconclusive-Trial sequential analysis adjustment of random error risk due to repetitive testing of accumulating data in apparently conclusive neonatal meta-analyses. Int J Epidemiol, 2009, 38(1):287-298.
5.	Thorlund K, Devereaux PJ, Wetterslev J, et al. Can trial sequential monitoring boundaries reduce spurious inferences from meta-analyses? Int J Epidemiol, 2009, 38(1):276-286.
6.	翁鴻, 武珊珊, 張永剛, 等. 序貫Meta分析方法學簡介. 中國循證醫學雜志, 2016, 16(10):1216-1220.
7.	Thorlund K, Engstr?m J, Wetterslev J, et al. User manual for trial sequential analysis (TSA). Copenhagen Trial Unit, Centre for Clinical Intervention Research, Copenhagen, Denmark. 2011. Available from www.ctu.dk/tsa.
8.	翁鴻, 李勝, 曾憲濤, 等. 試驗序貫分析軟件在Meta分析中的應用. 中國循證醫學雜志, 2016, 16(5):604-611.
9.	Miladinovic B, Hozo I, Djulbegovic B. Trial sequential boundaries for cumulative meta-analyses. Stata J, 2013, 13(1):77-91.
10.	曾憲濤, 張超. R與Meta分析. 第一版. 北京:軍事醫學科學出版社, 2014.

1. Pogue JM, Yusuf S. Cumulating evidence from randomized trials:Utilizing sequential monitoring boundaries for cumulative meta-analysis. Control Clin Trials, 1997, 18(6):580-593.
2. Brok J, Thorlund K, Gluud C, et al. Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses. J Clin Epidemiol, 2008, 61(8):763-769.
3. Wetterslev J, Thorlund K, Brok J, et al. Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis. J Clin Epidemiol, 2008, 61(1):64-75.
4. Brok J, Thorlund K, Wetterslev J, et al. Apparently conclusive meta-analyses may be inconclusive-Trial sequential analysis adjustment of random error risk due to repetitive testing of accumulating data in apparently conclusive neonatal meta-analyses. Int J Epidemiol, 2009, 38(1):287-298.
5. Thorlund K, Devereaux PJ, Wetterslev J, et al. Can trial sequential monitoring boundaries reduce spurious inferences from meta-analyses? Int J Epidemiol, 2009, 38(1):276-286.
6. 翁鴻, 武珊珊, 張永剛, 等. 序貫Meta分析方法學簡介. 中國循證醫學雜志, 2016, 16(10):1216-1220.
7. Thorlund K, Engstr?m J, Wetterslev J, et al. User manual for trial sequential analysis (TSA). Copenhagen Trial Unit, Centre for Clinical Intervention Research, Copenhagen, Denmark. 2011. Available from www.ctu.dk/tsa.
8. 翁鴻, 李勝, 曾憲濤, 等. 試驗序貫分析軟件在Meta分析中的應用. 中國循證醫學雜志, 2016, 16(5):604-611.
9. Miladinovic B, Hozo I, Djulbegovic B. Trial sequential boundaries for cumulative meta-analyses. Stata J, 2013, 13(1):77-91.
10. 曾憲濤, 張超. R與Meta分析. 第一版. 北京:軍事醫學科學出版社, 2014.

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