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5. Online Updating of Survival Analysis in the Big Data Setting

Online Updating of Survival Analysis in the Big Data Setting

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：soul678

【摘 要】

：

When large amounts of survival data arrive in streams,conventional estimation methods may become infeasible since they require storage of all the risk sets at each accumulation point.

【作 者】

：

Jing Wu Elizabeth D.Schifanoz Jun Yany Yuping Zhangx Ming-Hui Chen 

【机 构】

：

Department of Statistics,University of Connecticut,CT,06269,USA

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Cox model Data compression Data stream Piecewise constant baseline hazard SEER 

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　　When large amounts of survival data arrive in streams,conventional estimation methods may become infeasible since they require storage of all the risk sets at each accumulation point.

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