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

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. Using patient-level data from a single site combined with only aggregated information from other sites, we...

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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA Jg. 27; H. 7; S. 1028
Hauptverfasser:	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
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 01.07.2020
Schlagworte:	Adult Aged Algorithms Bias Computer Simulation Datasets as Topic Electronic Health Records Female Humans Likelihood Functions Male Middle Aged Models, Statistical Proportional Hazards Models Sample Size Time Factors meta-analysis distributed algorithm data integration electronic health record Cox proportional hazards model
ISSN:	1527-974X, 1527-974X
Online-Zugang:	Weitere Angaben
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