统计分析

Johanna Hardin, John Kloke
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引用次数: 226

摘要

在本附录中,我们提供了用于分析生物数据的方法概述。我们总结了遇到的数据类型,以及适用于感兴趣问题的适当方法。所描述的统计技术包括t检验、Wilcoxon秩和检验、Mann‐Whitney‐Wilcoxon检验、ANOVA、回归和卡方检验。对于每种方法,我们都给出了适当的假设、测试的细节以及完整的具体示例。我们还讨论了相关的想法,如多重比较,为什么相关性不意味着因果关系,以及从人群中采样的想法。©2017 John Wiley&Sons,股份有限公司版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical Analyses

In this appendix, we provide an outline of methods used in analyzing biological data. We give a summary of types of data encountered and the appropriate methods to apply for the questions of interest. Statistical techniques described include the t test, the Wilcoxon rank sum test, the Mann-Whitney-Wilcoxon test, ANOVA, regression, and the chi-square test. For each method, we give the appropriate assumptions, the details of the test, and a complete concrete example to follow. We also discuss related ideas such as multiple comparisons, why correlation does not imply causation, and ideas of sampling from a population. © 2017 by John Wiley & Sons, Inc.

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