SURVIVAL TREES BY GOODNESS OF SPLIT

被引：230

作者：

LEBLANC, M ^{[1
]}

CROWLEY, J ^{[1
]}

机构：

[1] FRED HUTCHINSON CANC RES CTR,SEATTLE,WA 98104

来源：

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 1993年 / 88卷 / 422期

关键词：

CLASSIFICATION AND REGRESSION TREE; REGRESSION TREES; SURVIVAL ANALYSIS;

D O I：

10.2307/2290325

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A tree-based method for censored survival data is developed, based on maximizing the difference in survival between groups of patients represented by nodes in a binary tree. The method includes a pruning algorithm with optimal properties analogous to the classification and regression tree (CART) pruning algorithm. Uniform convergence of the estimates of the conditional cumulative hazard and survival functions is discussed, and an example is given to show the utility of the algorithm for developing prognostic classifications for patients.

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收藏

页码：457 / 467

页数：11

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