UCL Queen Square Institute of Neurology, University College London, London, UK.
Trends Neurosci. 2023 Feb;46(2):94-96. doi: 10.1016/j.tins.2022.09.009. Epub 2022 Oct 21.
The correlation coefficient gauges linear association between two variables. However, interpreting its value depends on the question at hand. This article argues that relying on the correlation coefficient may be irrelevant for many neuroscience research tasks. When the experimental dataset is contextually suitable for binning-averaging, other indicators of statistical association could prove more suitable.
相关系数衡量两个变量之间的线性关联。然而，其值的解释取决于手头的问题。本文认为，对于许多神经科学研究任务，依赖相关系数可能并不相关。当实验数据集在上下文上适合于分组平均时，其他统计关联指标可能更适用。
