重新分析统计数据:从复杂到简单和实用

J. Takkenberg, I. El-Hamamsy, M. Yacoub
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引用次数: 0

摘要

【文章第一段】“一切都应尽可能简单,但不能简单一点”(爱因斯坦)毫无疑问,统计学是科学和临床实践的重要组成部分,因此,所有相关人员都应该以一种易于理解的方式随时可用。近年来,统计数据往往偏离这一意图,因为它们被认为是复杂和用户不友好的。这种误解要求对统计进行紧急重新评价,目的是恢复其简单、优雅和实用的原始形象。在本期《华尔街日报》上,马克·德·勒瓦尔和本·布里奇沃特以及布鲁斯·基奥爵士的两篇优秀文章阐明了与统计学哲学和应用有关的几个方面。我们强烈赞同他们的信息,并试图在这篇社论中提出一个简化的统计应用路线图,包括常用方法的起源和用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistics re-analysed: From complexity to simplicity and utility
[first paragraph of article] ‘‘ Everything should be made as simple as possible, but not one bit simpler ’’ (Einstein) There is no shadow of doubt that statistics are an essential part of science and clinical practice, and therefore should be readily available to all concerned, in a comprehensible manner. In recent years, statistics have tended to deviate from this intention, with their perception of being complex and user-unfriendly. This misconception requires an urgent re-evaluation of statistics, with the aim of restoring their original image of simplicity, elegance and application. In this issue of the Journal, the two excellent articles by Marc de Leval & Ben Bridgewater and Sir Bruce Keogh serve the purposes of clarifying several aspects relating to the philosophy and applications of statistics. We strongly endorse their message, and attempt in this Editorial to present a simplified road map of the applications of statistics including the origins and utility of commonly used methodologies.
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