Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes
通过量化对处理效应估计的影响改进偏差校正评价标准
With the growing access to administrative health databases, retrospective studies have become crucial evidence for medical treatments. Yet, non-randomized studies frequently face selection biases, requiring mitigation strategies. Propensity score matching (PSM) addresses these biases by selecting comparable populations, allowing for analysis without further methodological constraints. However, PSM has several drawbacks. Different matching methods can produce significantly…