Department of Computer Science and Engineering, University of Washington, Seattle, Washington, USA.
Nat Biotechnol. 2009 Dec;27(12):1135-7. doi: 10.1038/nbt1209-1135.
Drawing valid conclusions from an experiment often requires associating statistical confidence measures with the observed data. But these measures can be stated in terms of -values, false discovery rates or -values. What are the differences? And how should you decide which one to use?
从实验中得出有效结论通常需要将统计置信度度量与观察到的数据相关联。但是，这些度量可以用 p 值、错误发现率或 q 值来表示。它们有什么区别？应该如何决定使用哪个？
