Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites
Integrating real-world data (RWD) from several clinical sites offers great opportunities to improve estimation with a more general population compared to analyses based on a single clinical site. However, sharing patient-level data across sites is practically challenging due to concerns about maintaining patient privacy. We develop a distributed algorithm to …