论文标题
因果推论：批判发展，过去和未来
Causal inference: critical developments, past and future
论文作者
论文摘要
因果关系是哲学辩论的主题，也是悠久历史的中心科学问题。在统计领域中，基于“公平”概念的因果关系的研究可以追溯到几百年来，但构成因果推理领域的统计概念和发展仅数十年了。在本文中，我们回顾了该领域历史上因果推理和关键发展的核心原则和方法。我们强调了与传统的“关联”统计方法的联系，包括估计方程式和半参数理论，并指出了我们领域这个关键领域的当前主动研究主题。
Causality is a subject of philosophical debate and a central scientific issue with a long history. In the statistical domain, the study of cause and effect based on the notion of `fairness' in comparisons dates back several hundred years, and yet statistical concepts and developments that form the area of causal inference are only decades old. In this paper, we review core tenets and methods of causal inference and key developments in the history of the field. We highlight connections with traditional `associational' statistical methods, including estimating equations and semiparametric theory, and point to current topics of active research in this crucial area of our field.
