A biologist's guide to statistical thinking and analysis.

David S Fay, Ken Gerow
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引用次数: 12

Abstract

The proper understanding and use of statistical tools are essential to the scientific enterprise. This is true both at the level of designing one's own experiments as well as for critically evaluating studies carried out by others. Unfortunately, many researchers who are otherwise rigorous and thoughtful in their scientific approach lack sufficient knowledge of this field. This methods chapter is written with such individuals in mind. Although the majority of examples are drawn from the field of Caenorhabditis elegans biology, the concepts and practical applications are also relevant to those who work in the disciplines of molecular genetics and cell and developmental biology. Our intent has been to limit theoretical considerations to a necessary minimum and to use common examples as illustrations for statistical analysis. Our chapter includes a description of basic terms and central concepts and also contains in-depth discussions on the analysis of means, proportions, ratios, probabilities, and correlations. We also address issues related to sample size, normality, outliers, and non-parametric approaches.

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生物学家的统计思维和分析指南。
正确理解和使用统计工具对科学事业至关重要。无论是设计自己的实验,还是批判性地评价他人的研究,都是如此。不幸的是,许多在科学方法上严谨周到的研究人员对这一领域缺乏足够的了解。这一章的方法就是针对这样的个体编写的。虽然大多数例子来自秀丽隐杆线虫生物学领域,但这些概念和实际应用也与那些在分子遗传学、细胞和发育生物学领域工作的人有关。我们的意图是将理论考虑限制在必要的最低限度,并使用常见的例子作为统计分析的说明。我们的章节包括对基本术语和中心概念的描述,也包含对均值、比例、比率、概率和相关性分析的深入讨论。我们还讨论了与样本量、正态性、异常值和非参数方法相关的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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