Covariate balance-related propensity score weighting in estimating overall hazard ratio with distributed survival data.

ABSTRACT:

Background

When data is distributed across multiple sites, sharing information at the individual level among sites may be difficult. In these multi-site studies, propensity score model can be fitted with data within each site or data from all sites when using inverse probability-weighted Cox regression to estimate overall hazard ratio. However, when there is unknown heterogeneity of covariates in different sites, either approach may lead to potential bias or reduced efficiency. In this study, we proposed a method to estimate propensity score based on covariate balance-related criterion and estimate the overall hazard ratio while overcoming data sharing constraints across sites.

Methods

The proposed propensity score was generated by choosing between global and local propensit

SUBMITTER: Huang C 

PROVIDER: S-EPMC10576397 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature