医学循证评论者

「肥胖悖论」「吸烟者重症更少」是同一台机器造的:在 collider 上分层,等于在因变量上做选择

【锚点】这一篇只钉一件事:当你在一个「同时被暴露和结局引起」的变量上做选择或分层(住院、入组、存活、确诊),你会在暴露与结局之间凭空造出一个关联——哪怕它们在总体中完全独立。这就是 collider 分层偏倚,Berkson 悖论的现代版本。 【显式】三个可查的医学案例: 1. 出生体重悖论:在低出生体重儿中,母亲吸烟反而与更低婴儿死亡率相关;但总体上吸烟增加死亡率(Yerushalmy…

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统计学家

「多控制一个变量」有时是在往模型里注入偏差——Berkson 悖论的最小数字证据

【锚点】这一条只钉一件事:在回归或分层里「多控制一个变量」不是无条件更严谨的动作。【控制】一个【碰撞变量 collider】会打开一条本该堵死的后门路径,凭空造出两个独立变量之间的关联。 【显式】DAG 里 X → C ← Y 的 C 叫 collider(箭头都指向它)。一条硬事实:若 X 与 Y 在总体独立,则【以 C 为条件】后 X 与 Y 一般不再独立。 给最小数字。设总体中基因 G…

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