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扩展树状结构回归的要素。

Extending the elements of tree-structured regression.

作者信息

Segal M R

机构信息

Division of Biostatistics, University of California, San Francisco 94143-0560, USA.

出版信息

Stat Methods Med Res. 1995 Sep;4(3):219-36. doi: 10.1177/096228029500400304.

DOI:10.1177/096228029500400304
PMID:8548104
Abstract

The usage of tree-structured or recursive partitioning methods has grown steadily in the decade since the appearance of the definitive monograph 'Classification and Regression Trees'. Accompanying this growth have been many methodologic and software extensions that have served to give the tree-structured approach even wider applicability. This overview highlights some of these developments, emphasizing the regression setting. An illustrative example describes how tree-structured regression, modified to handle right-censored, left-truncated survival data with time-dependent covariates, can be used to assess whether rates of progression from HIV to AIDS have changed over time.

摘要

自权威专著《分类与回归树》问世后的十年间,树状结构或递归划分方法的应用稳步增长。伴随这种增长出现了许多方法学和软件扩展,这些扩展使树状结构方法具有更广泛的适用性。本综述突出了其中一些进展,重点是回归设置。一个示例说明了如何使用经过修改以处理带有随时间变化协变量的右删失、左截断生存数据的树状结构回归,来评估从艾滋病毒发展到艾滋病的进展率是否随时间发生了变化。

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