Learning from local to global: An efficient distributed algorithm for modeling time-to-event data

OBJECTIVE: We developed and evaluated a privacy-preserving One-shot Distributed Algorithm to fit a multicenter Cox proportional hazards model (ODAC) without sharing patient-level information across sites. MATERIALS AND METHODS: Using patient-level data from a single site combined with only aggregate...

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Detalhes bibliográficos
Publicado no:J Am Med Inform Assoc
Main Authors: Duan, Rui, Luo, Chongliang, Schuemie, Martijn J, Tong, Jiayi, Liang, C Jason, Chang, Howard H, Boland, Mary Regina, Bian, Jiang, Xu, Hua, Holmes, John H, Forrest, Christopher B, Morton, Sally C, Berlin, Jesse A, Moore, Jason H, Mahoney, Kevin B, Chen, Yong
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Research and Applications
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7647322/
https://ncbi.nlm.nih.gov/pubmed/32626900
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa044
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