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

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

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.	翁鸿, 武珊珊, 张永刚, 等. 序贯Meta分析方法学简介. 中国循证医学杂志, 2016, 16(10):1216-1220.
7.	Thorlund K, Engstrøm 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.	翁鸿, 李胜, 曾宪涛, 等. 试验序贯分析软件在Meta分析中的应用. 中国循证医学杂志, 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.	曾宪涛, 张超. R与Meta分析. 第一版. 北京:军事医学科学出版社, 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. 翁鸿, 武珊珊, 张永刚, 等. 序贯Meta分析方法学简介. 中国循证医学杂志, 2016, 16(10):1216-1220.
7. Thorlund K, Engstrøm 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. 翁鸿, 李胜, 曾宪涛, 等. 试验序贯分析软件在Meta分析中的应用. 中国循证医学杂志, 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. 曾宪涛, 张超. R与Meta分析. 第一版. 北京:军事医学科学出版社, 2014.

Previous Article
Effectiveness and Safety of the Ultrasound Guidance for Internal Jugular Vein Catheterization in Pediatric Patients: A Meta-analysis
Next Article
Brief Introduction of the Joanna Briggs Institute

Chinese Journal of Evidence-Based Medicine

Implementation of Trial Sequential Analysis using Stata Software

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content