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 aggregated...

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Publicado en:	Journal of the American Medical Informatics Association Vol. 27; no. 7; pp. 1028 - 1037
Autores principales:	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:	research Journal Article
Publicado:	Oxford University Press / USA Jul2020
Acceso en línea:	Ver este registro en EBSCOhost