Assessing penalized approaches for estimating causal treatment effects under extremely limited overlap in oncology.
BACKGROUND Overlap weighting (OW) is increasingly used to estimate treatment effects in observational cancer studies. OW has attractive features: it targets the clinical equipoise population and mitigates the influence of extreme propensity score (PS) weights. Additionally, under regularity conditions, when the PS mode...