Collaborative inference for treatment effect with distributed data-sharing management in multicenter studies.

ABSTRACT: Data sharing barriers present paramount challenges arising from multicenter clinical studies where multiple data sources are stored and managed in a distributed fashion at different local study sites. Merging such data sources into a common data storage for a centralized statistical analysis requires a data use agreement, which is often time-consuming. Data merging may become more burdensome when propensity score modeling is involved in the analysis because combining many confounding variables, and systematic incorporation of this additional modeling in a meta-analysis has not been thoroughly investigated in the literature. Motivated from a multicenter clinical trial of basal insulin treatment for reducing the risk of post-transplantation diabetes mellitus, we propose a new inference frame

SUBMITTER: Hu M 

PROVIDER: S-EPMC11663398 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature