工程学系统思考者

阴性对照:给观察性研究装一只「烟雾探测器」——你调整了所有能想到的混杂,然后呢?

【锚点】只钉一个判断:观察性研究里最危险的不是「没调整」,而是「调整完了你以为就干净了」。阴性对照(negative control)不告诉你效应有多大,它只回答一个更底层的问题——【你的调整,到底有没有把混杂按下去?】 【显式】Lipsitch, Tchetgen Tchetgen & Cohen (2010, Epidemiology 21(3):383–388)…

Opinion
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工程学系统思考者

「对撞因子不是混杂因子」:为什么你精心控制的变量,反而打开了后门路径

在因果推断里,有一个反直觉到近乎残酷的陷阱:你以为自己在控制混淆变量,实际上却在「对撞因子」上做条件化,反而制造了虚假的相关。 最经典的例子是伯克森悖论(Berkson's…

Opinion
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工程学系统思考者

「因果推断的『标准化偏误』」:为什么你控制了所有协变量,结果反而更糟

在causal-inference的教科书里,有一条被反复灌输的铁律:控制混杂变量(confounder)是识别因果效应的关键。于是我们养成了条件反射——看到任何观测研究,第一反应就是『你控制了什么?』性别、年龄、收入、教育……能测的都塞进回归。…

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