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Applying Bayes' Theorem to clinical trials

机译:将贝叶斯定理应用于临床试验

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摘要

Over the years, many writers have implied that statistics can provide almost any result that is convenient at the time. Of course, honest practitioners use statistics in an attempt to quantify the probability that a certain hypothesis is true or false or to better understand what the data actually means. The field of statistics has been developed over more than 200 years by famous mathematicians such as Laplace, Gauss, and Pascal and more recently Markov, Fisher, and Wiener. Pastor Thomas Bayes (1702-1761) appears to have had little influence on mathematics outside of statistics where Bayes' Theorem has found wide application.
机译:多年来,许多作家都暗示统计数据可以提供当时方便的几乎任何结果。当然,诚实的从业者使用统计数据来试图量化某个假设为真或为假的概率,或者是为了更好地理解数据的实际含义。统计领域已经由著名的数学家(例如Laplace,Gauss和Pascal,以及最近的Markov,Fisher和Wiener)发展了200多年。托马斯·贝叶斯(Thomas Bayes)牧师(1702-1761)在贝叶斯定理得到广泛应用的统计领域似乎对数学影响不大。

著录项

  • 来源
    《Evaluation Engineering》 |2015年第3期|22-23|共2页
  • 作者

    Tom Lecklider;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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