Spline and smoothing approaches to fitting flexible models for the analysis of pulmonary function data.
Spline and smoothing approaches to fitting flexible models for the analysis of pulmonary function data.
复制标题
用于拟合用于分析肺功能数据的灵活模型的样条和平滑方法。
DOI：
10.1164/ajrccm/154.6_pt_2.s223
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发表时间：
1996
期刊：
影响因子：
--
通讯作者：
Wypij,D
中科院分区：
文献类型：
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作者：
Wypij,D
由于青少年生长突增的影响，儿童肺功能的建模是复杂的。10 g（FEV，）与log（身高）的曲线图表明，在女孩的年龄组内，10 g（FEV，）和10 g（身高）之间的关系近似线性，但截距和斜率随年龄而变化（图1）。同样，AFEV与AHEIGHT（定义为身高变化除以年龄变化）的关系图也表明，
RESULTSModeling of lung function in children is complicated due to the effects of the adolescent growth spurt. Plots of 10g (FEV,) versus log (HEIGHT) suggest that the relationship between 10g (FEV,) and 10g (HEIGHT) looks approximately linear within age groups in girls but that the intercepts and slopes vary with age (Figure 1). Similarly, plots of AFEV, versus AHEIGHT (defined as change in height divided by the age change) also suggest linear