How balance and sample size impact bias in the estimation of causal treatment effects: A simulation study
平衡性与样本量如何影响因果处理效应估计的偏差:一项模拟研究
Observational studies are often used to understand relationships between exposures and outcomes. They do not, however, allow conclusions about causal relationships to be drawn unless statistical techniques are used to account for the imbalance of confounders across exposure groups. Propensity score and balance weighting (PSBW) are useful techniques that aim to reduce the imbalances between exposure groups by weighting the groups to look alike on the observed confounders.…