Trees and tracking.
Trees and tracking.
复制标题
树木和跟踪。
DOI：
10.1002/sim.4780122302
复制
发表时间：
1993
影响因子：
2
通讯作者：
Tager,IB
中科院分区：
文献类型：
--
作者：
Segal,MR;Tager,IB
流行病学家使用术语“跟踪”来表示个体在给定时间跨度内保持某些纵向测量特征的相对等级。为了评估一个属性跟踪的程度，我们必须首先总结个体的生长曲线，其次量化相对等级的维持，这两个概念都是在面对随机误差的情况下。1981年出现的一系列论文提供了不同的评估跟踪方法。在这里，我们采用不同的方法来跟踪，通过使用纵向数据的回归树。上述两个问题同时得到解决，因为该程序确定了子组。根据协变量定义，其中生长曲线的集合是均匀的。在回顾了现有的跟踪方法后，我们描述了树结构方法，并提出了一个关于儿童肺功能生长的说明性例子。
Epidemiologists have used the term ‘tracking’ to connote an individual's maintenance of relative rank of some longitudinally measured characteristic over a given time span. To assess the extent to which an attribute tracks we have first to summarize individual growth curves, and second to quantify the notion of maintenance of relative rank, both in the face of random error. A sequence of papers appearing in 1981 provided differing methodologies for appraising tracking. Here we take a different approach to tracking by using regression trees for longitudinal data. The above two concerns are simultaneously addressed in that the procedure identifies subgroups. defined in terms of covariates, within which the collection of growth curves is homogeneous. After reviewing the existing approaches to tracking we describe the tree‐structured methodology, and present an illustrative example pertaining to lung function growth in children.