Standard propensity score matching was used to create a highly comparable control group.
标准倾向评分匹配(Standard propensity score matching)用来创建一个高度可比的对照组。
Results Under model misspecification conditions, propensity score methods had better robustness than model based methods.
结果当存在模型误定时，倾向指数方法比基于模型的方法具有较好的稳健性。
Objective Through introduction of principal theory and algorithm of propensity score to design SAS macro programs for binary data.
目的实例介绍倾向评分法的基本原理和适用条件，设计适用于分析二分类资料的SAS宏程序。
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