Sydney Nursing School (MO2), University of Sydney, Australia.
Aust Crit Care. 2011 May;24(2):133-8. doi: 10.1016/j.aucc.2011.01.005. Epub 2011 May 4.
This paper is the sixth in a series of statistics articles recently published by Australian Critical Care. In this paper we explore the most commonly used statistical tests to compare groups of data at the nominal level of measurement. The chosen statistical tests are the chi-square test, chi-square test for goodness of fit, chi-square test for independence, Fisher's exact test, McNemar's test and the use of confidence intervals for proportions. Examples of how to use and interpret the tests are provided.
本文是澳大利亚重症监护最近发表的一系列统计学文章中的第六篇。本文探讨了比较定类测量水平数据的最常用统计检验方法。选择的统计检验方法包括卡方检验、拟合优度卡方检验、独立性卡方检验、Fisher 确切检验、McNemar 检验以及比例置信区间的使用。提供了如何使用和解释这些检验方法的示例。
