• 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, P.R.China;
  • 2. Department of Communication Engineering, Electronic Information School of Wuhan University, Wuhan, 430072, P.R.China;
  • 3. Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, P.R.China;
  • 4. Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, P.R.China;
ZENG Xiantao, Email: zengxiantao1128@163.com
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Trial sequential analysis (TSA) can identify inclusive results of apparently conclusive of meta-analyses by providing require information size and monitoring boundary. Certain methods of calculating information size are existed. Our objective was to give a brief introduction of four methods to help readers to better perform TSA in making meta-analyses.

Citation: WENG Hong, GUO Chengcheng, LV Jun, MENG Xiangyu, GUO Zhongqiang, ZENG Xiantao. Calculation of information size of trial sequential analysis. Chinese Journal of Evidence-Based Medicine, 2017, 17(1): 113-116. doi: 10.7507/1672-2531.201607061 Copy

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