Using overlap weights to address extreme propensity scores in estimating restricted mean counterfactual survival times.

ABSTRACT: Although inverse probability of treatment weighting (IPTW) is a commonly used approach for treatment comparisons in observational data, the resulting estimates may be subject to bias and excessively large variance under lack of overlap. By smoothly down-weighting units with extreme propensity scores (ie, those that are close, or equal, to 0 or 1), overlap weighting (OW) can help mitigate the bias and variance issues associated with IPTW. Although theoretical and simulation results have supported the use of OW with continuous and binary outcomes, its performance with survival outcomes remains to be further investigated, especially when the target estimand is defined based on the restricted mean survival time (RMST). We combine propensity score weighting and inverse probability of censoring

SUBMITTER: Cao Z 

PROVIDER: S-EPMC12342919 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature