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指数生存树

Exponential survival trees.

作者信息

Davis R B, Anderson J R

机构信息

Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115.

出版信息

Stat Med. 1989 Aug;8(8):947-61. doi: 10.1002/sim.4780080806.

Abstract

This paper concerns a recursive partitioning algorithm for incomplete survival data. The splitting criterion employed is exponential log-likelihood loss. The method has been integrated into a computer program similar in structure to the commercial package CART. Special features incorporated into the program include a modification to prevent zero hazard estimates during the the cross-validation procedure and a method based on the chi-square distribution for final tree selection. Simulation results demonstrate the program's capability to identify the underlying hazard structure in survival data. An example utilizing data from patients with diffuse large cell lymphoma is presented.

摘要

本文涉及一种针对不完全生存数据的递归划分算法。所采用的分裂准则是指数对数似然损失。该方法已被集成到一个结构与商业软件包CART相似的计算机程序中。纳入该程序的特殊功能包括一项在交叉验证过程中防止出现零风险估计的修正,以及一种基于卡方分布进行最终树选择的方法。模拟结果证明了该程序识别生存数据中潜在风险结构的能力。文中给出了一个利用弥漫性大细胞淋巴瘤患者数据的示例。

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