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Suppose that Joe is participating in an FDA test for a new hypertension drug. If we were omniscient, we would know the outcomes for Joe under both treatment (the new drug) and control (either no treatment or the current standard treatment). The causal effect, or treatment effect, is the difference between these two potential outcomes.

Suppose that Joe is participating in an FDA test for a new hypertension drug. If we were omniscient, we would know the outcomes for Joe under both treatment (the new drug) and control (either no treatment or the current standard treatment). The causal effect, or treatment effect, is the difference between these two potential outcomes.

假设 Joe 正在参加 FDA 对一种新的高血压药物的测试。如果我们无所不知，我们就会知道乔在处理（新药）和控制（未处理或当前标准处理）下的结果。因果效应或处理效应是这两种潜在结果之间的差异。

假设 Joe 正在参加 FDA 对一种新的高血压药物的测试。如果我们无所不知，我们就会知道乔在处理t（新药）和控制c（未处理或当前标准处理）下的结果。因果效应或处理效应是这两种潜在结果之间的差异。

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- [https://en.wikipedia.org/wiki/Propensity_score_matching 倾向得分匹配]

- [https://en.wikipedia.org/wiki/Propensity_score_matching 倾向得分匹配]

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==参考文献==

==参考文献==

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