Causal Analysis in Biomedicine and Epidemiology: Based on Minimal Sufficient Causation
Causal Analysis in Biomedicine and Epidemiology: Based on Minimal Sufficient Causation
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生物医学和流行病学中的因果分析：基于最小充分因果关系
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
M. Aickin
中科院分区：
文献类型：
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作者：
M. Aickin
取向，什么是因果关系？朴素的最小充分原因事件和概率一元代数不平凡的含义微小的例子单因素模型图形元素因果结构方程双因素模型唐氏综合症例子边缘化分层肥胖例子归因间接原因-概率间接原因-结构逆转妊娠糖尿病例子更多逆转双重逆转复杂间接原因双重原因-概率双重原因-结构矛盾因果关系干预因果协方差单一率功能因果关系因果算子因果模型依赖DAG理论。
Orientation what is causation? naive minimal sufficient cause events and probabilities unitary algebra nontrivial implication tiny examples the one-factor model graphical elements causations structural equations the two-factor model Down Syndrome example marginalization stratification obesity example attribution indirect cause - probabilities indirect cause - structures reversal gestational diabetes example more reversal double reversal complex indirect cause dual causation - probabilities dual causation - structures paradoxical causation interventions causal covariance unitary rates functional causation the causation operator causal modelling dependence DAG theory.