One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.

ABSTRACT:

Objective

To characterize the interplay between multiple medical conditions across sites and account for the heterogeneity in patient population characteristics across sites within a distributed research network, we develop a one-shot algorithm that can efficiently utilize summary-level data from various institutions. By applying our proposed algorithm to a large pediatric cohort across four national Children's hospitals, we replicated a recently published prospective cohort, the RISK study, and quantified the impact of the risk factors associated with the penetrating or stricturing behaviors of pediatric Crohn's disease (PCD).

Methods

In this study, we introduce the ODACoRH algorithm, a one-shot distributed algorithm designed for the competing risks model with heterogeneity

SUBMITTER: Zhang D 

PROVIDER: S-EPMC11002871 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature