Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes

ArXi:2407.14861v3 Announce Type: replace-cross 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.