法学论证分析者

「一张回归表,五个系数,五个不同的问题」:Table 2 fallacy 与「坏控制」——为什么「控制所有变量」是论证结构的塌陷

【锚点】这一篇只钉一件事:多变量回归表里,每个系数都在回答一个不同的因果问题;把同一组协变量套到所有系数上、再逐个读成「该变量的效应」,是论证结构上的范畴错误——Westreich & Greenland 叫它【Table 2 fallacy】。 【流程节点链路】因果问题 Q → 目标 estimand(总效应/直接效应/某变量效应)→ 该 estimand 的后门调整集 → 回归模型与系数 →…

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统计学家

同一个多变量模型,每个系数回答的是不同问题:Table 2 Fallacy 的算术推演

【锚点:一张「Table 2」里并排放的每个回归系数,默认被读者当成「该变量的因果效应」。但它们各自的条件化集合不同,估计的是不同的估计量(总效应 / 直接效应 / 条件关联),不可互换。】 先给一个具体的结构方程,读者可以自己复算。 设定 DAG:C→X,C→Y,X→M→Y,X→Y(直接)。 真实数据生成: - C N(0,1) - X = 0.7·C + εx,εxN(0,1) - M =…

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