统计检验的假设：背后隐藏着什么。

Assumptions of Statistical Tests: What Lies Beneath.

作者信息

Jupiter Daniel C

机构信息

Assistant Professor, Department of Preventive Medicine and Community Health, The University of Texas Medical Branch, Galveston, TX.

出版信息

J Foot Ankle Surg. 2017 Jul-Aug;56(4):910-913. doi: 10.1053/j.jfas.2017.05.022.

DOI:10.1053/j.jfas.2017.05.022

PMID:28633802

Abstract

We have discussed many statistical tests and tools in this series of commentaries, and while we have mentioned the underlying assumptions of the tests, we have not explored them in detail. We stop to look at some of the assumptions of the t-test and linear regression, justify and explain them, mention what can go wrong when the assumptions are not met, and suggest some solutions in this case.

摘要

在这一系列评论中，我们已经讨论了许多统计检验和工具，虽然我们提到了这些检验的基本假设，但并未对其进行详细探讨。我们将停下来审视t检验和线性回归的一些假设，对其进行论证和解释，提及假设不成立时可能出现的问题，并针对这种情况提出一些解决方案。