论文标题
使用基数匹配来设计平衡和代表性样本进行观察研究
Using Cardinality Matching to Design Balanced and Representative Samples for Observational Studies
论文作者
论文摘要
基数匹配是一种计算方法，可从观测数据集中找到最大数量的匹配的暴露和未暴露的个体对，具有指定的基线特征模式，代表目标人群进行分析。本文解释了基数匹配的过程，以及它如何同时解决平衡，样本量和匹配样本的代表性的关注点。
Cardinality matching is a computational method for finding the largest possible number of matched pairs of exposed and unexposed individuals from an observational dataset, with specified patterns of baseline characteristics that represent a target population for analysis. This article explains the process of cardinality matching and how it simultaneously addresses the concerns of balance, sample size, and representativeness of matched samples in observational studies.
