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Sample sizes based on three popular indices of risks

         

摘要

Sample size justification is a very crucial part in the design of clinical trials. In this paper, the authors derive a new formula to calculate the sample size for a binary outcome given one of the three popular indices of risk difference.The sample size based on the absolute difference is the fundamental one, which can be easily used to derive sample size given the risk ratio or OR.

著录项

  • 来源
    《综合精神医学(英文)》 |2018年第6期|P.150-152|共3页
  • 作者单位

    [1]Department of Biostatistics and Computational Biology;

    University of Rochester;

    Rochester;

    New York;

    USA;

    [1]Department of Biostatistics and Computational Biology;

    University of Rochester;

    Rochester;

    New York;

    USA;

    [2]Division of Biostatistics and Bioinformatics;

    University of California San Diego;

    La Jolla;

    California;

    USA;

    [2]Division of Biostatistics and Bioinformatics;

    University of California San Diego;

    La Jolla;

    California;

    USA;

    [1]Department of Biostatistics and Computational Biology;

    University of Rochester;

    Rochester;

    New York;

    USA;

    [3]Department of Anesthesiology;

    University of Rochester;

    Rochester;

    New York;

    USA;

  • 原文格式 PDF
  • 正文语种 CHI
  • 中图分类 医药、卫生;
  • 关键词

    size; sample; derive; indices;

    机译:大小;样本;派生;索引;
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