WENGHong 1,2,3 , LISheng 1,2,3 , ZENGXian-Tao 1,2,3 , WUShan-Shan 4 , LIUng 2,5 , WANGXing-Huan 1,2,3
  • 1. Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China;
  • 2. Center for Evidence-Based and Translational Medicine, Wuhan University, Wuhan 430071, China;
  • 3. Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China;
  • 4. National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China;
  • 5. Department of Epidemiology, School of Public Health, Wuhan University, Wuhan 430071, China;
WANGXing-Huan, Email: wangxinghuan@whu.edu.cn
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The robustness of results of statistical analysis would be altered on the condition of repeated update of traditional meta-analysis and cumulative meta-analysis. In addition, the cumulative meta-analysis lacks estimation of the sample size. While trail sequential analysis (TSA), which introduces group sequential analysis in meta-analysis, can adjust the random error and ultimately estimate the required sample size of the systematic review or meta-analysis. TSA is performed in TSA software. In the present study, we aimed to introduce how to use the TSA software for performing meta-analysis.

Citation: WENGHong, LISheng, ZENGXian-Tao, WUShan-Shan, LIUng, WANGXing-Huan. Application of the Trial Sequential Analysis Software for Meta-analysis. Chinese Journal of Evidence-Based Medicine, 2016, 16(5): 604-611. doi: 10.7507/1672-2531.20160093 Copy

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