Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm.

ABSTRACT: The widespread adoption of real-world data has given rise to numerous healthcare-distributed research networks, but multi-site analyses still face administrative burdens and data privacy challenges. In response, we developed a Collaborative One-shot Lossless Algorithm for Generalized Linear Mixed Models (COLA-GLMM), the first-ever algorithm that achieves both lossless and one-shot properties. COLA-GLMM ensures accuracy against the gold standard of pooled data while requiring only summary statistics and completes within a single communication round, eliminating the usual back-and-forth overhead. We further introduced an enhanced version that employs homomorphic encryption to reduce the risks of summary statistics misuse at the coordinating center. The simulation studies showed near-exact ag

SUBMITTER: Tong J 

PROVIDER: S-EPMC12274576 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature