Am J Epidemiol. 2021 Sep 1;190(9):1841-1843. doi: 10.1093/aje/kwab011.
The accompanying article by Jiang et al. (Am J Epidemiol. 2021;190(9):1830-1840) extends quantitative bias analysis from the realm of statistical models to the realm of machine learning algorithms. Given the rooting of statistical models in the spirit of explanation and the rooting of machine learning algorithms in the spirt of prediction, this extension is thought-provoking indeed. Some such thoughts are expounded upon here.
江等人的相关文章(《美国流行病学杂志》。2021;190(9):1830-1840)将定量偏差分析从统计模型领域扩展到机器学习算法领域。鉴于统计模型根植于解释精神,而机器学习算法根植于预测精神,这种扩展确实发人深省。这里阐述了一些这样的想法。