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第228行： − 在因果推断和调查方法的范围内，通过Logistic回归、随机森林或其他方法，利用一组协变量估计倾向性评分。然后将这些倾向性评分即可作为权重估计量用于逆概率加权方法。+
→倾向性评分
In the context of causal inference and survey methodology, propensity scores are estimated (via methods such as logistic regression, random forests, or others), using some set of covariates. These propensity scores are then used as estimators for weights to be used with Inverse probability weighting methods.
In the context of causal inference and survey methodology, propensity scores are estimated (via methods such as logistic regression, random forests, or others), using some set of covariates. These propensity scores are then used as estimators for weights to be used with Inverse probability weighting methods.
在因果推断和调查方法的范围内，通过Logistic回归、随机森林或其他方法，利用一组协变量估计倾向性评分。然后这些倾向性评分即可作为用于逆概率加权方法的权重估计量。
===Main theorems===
===Main theorems===