The use of classification and regression trees in clinical epidemiology
The use of classification and regression trees in clinical epidemiology
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DOI：
10.1016/s0895-4356(00)00344-9
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发表时间：
2001-06-01
影响因子：
7.2
通讯作者：
Marshall, RJ
中科院分区：
文献类型：
--
作者：
Marshall, RJ
一个批评是使用基于树的分区算法，制定分类规则，并确定亚组的临床和流行病学数据。有人认为，这些方法有一些局限性，尽管他们的流行和明显接近临床推理过程。讨论了树型决策规则的冗余问题。简单的规则可能不太可能通过树的生长而被“发现”。树所确定的亚组通常很难解释或相信，并且没有评估净效应。这些问题的出现从根本上说是因为树是分层的。树技术的更新改进似乎不太可能有用，因为它们与分层结构紧密相连。(C)2001 Elsevier Science Inc.保留所有权利。
A critique is presented of the use of tree-based partitioning algorithms to formulate classification rules and identify subgroups from clinical and epidemiological data. It is argued that the methods have a number of limitations, despite their popularity and apparent closeness to clinical reasoning processes. The issue of redundancy in tree-derived decision rules is discussed. Simple rules may be unlikely to be "discovered" by tree growing. Subgroups identified by trees are often hard to interpret or believe and net effects are not assessed. These problems arise fundamentally because trees are hierarchical. Newer refinements of tree technology seem unlikely to be useful, wedded as they are to hierarchical structures. (C) 2001 Elsevier Science Inc. Ah rights reserved.