SITAR--a useful instrument for growth curve analysis.

SITAR--a useful instrument for growth curve analysis.
复制标题

DOI:
10.1093/ije/dyq115
复制
发表时间:
2010-12
影响因子:
7.7
通讯作者:
Ben-Shlomo Y
Ben-Shlomo Y
中科院分区:
医学1区
文献类型:
--
作者:
Cole TJ;Donaldson MD;Ben-Shlomo Y

文献摘要

参考文献

被引文献

相似文献

背景 生长曲线分析是生命历程流行病学中的一个统计问题。青春期的身高涉及生长突增,其时间和强度因人而异。这些数据可以用单独的 Preece-Baines (PB) 曲线及其五个参数来概括,然后与早期暴露或后期结果相关。但它涉及拟合许多曲线。方法 我们提出了另一种平移和旋转叠加 (SITAR) 模型,这是一种具有单个拟合曲线的形状不变模型。通过上下移动曲线(代表平均大小的差异)和左右移动(代表生长速度的差异),个体的曲线与平均曲线相匹配,并且年龄尺度也会缩小或拉伸以指示个体的时间流逝速度(即速度)。每个人的这三个参数在拟合曲线时被估计为随机效应。结果是一条平均曲线加上每个个体的三重参数(大小、节奏和速度),总结了个体的生长模式。这些数据是英国特纳研究中基督医院学校 (CHS) 9-19 岁男孩的身高 (N = 3245, n = 129 508) 和 9-18 岁特纳综合征 (TS) 女孩的身高 (N = 105, n = 1321)。结果 SITAR 模型解释了两个数据集中 99% 的方差 [残余标准偏差 (RSD) 6–7mm],与单独拟合的 PB 曲线的拟合相匹配。在 CHS 中,生长速度与 50 年后测量的胰岛素样生长因子 1 相关(P = 0.01,N = 1009)。对于患有 TS 的女孩,从 9 岁起随机接受氧甲氢龙治疗,与安慰剂相比,速度显着增加 (P = 10−8)。结论 SITAR生长曲线模型是分析青春期身高的有用流行病学工具。
Background Growth curve analysis is a statistical issue in life course epidemiology. Height in puberty involves a growth spurt, the timing and intensity of which varies between individuals. Such data can be summarized with individual Preece–Baines (PB) curves, and their five parameters then related to earlier exposures or later outcomes. But it involves fitting many curves. Methods We present an alternative SuperImposition by Translation And Rotation (SITAR) model, a shape invariant model with a single fitted curve. Curves for individuals are matched to the mean curve by shifting their curve up–down (representing differences in mean size) and left–right (for differences in growth tempo), and the age scale is also shrunk or stretched to indicate how fast time passes in the individual (i.e. velocity). These three parameters per individual are estimated as random effects while fitting the curve. The outcome is a mean curve plus triplets of parameters per individual (size, tempo and velocity) that summarize the individual growth patterns. The data are heights for Christ’s Hospital School (CHS) boys aged 9–19 years (N = 3245, n = 129 508), and girls with Turner syndrome (TS) aged 9–18 years from the UK Turner Study (N = 105, n = 1321). Results The SITAR model explained 99% of the variance in both datasets [residual standard deviation (RSD) 6–7 mm], matching the fit of individually-fitted PB curves. In CHS, growth tempo was associated with insulin-like growth factor-1 measured 50 years later (P = 0.01, N = 1009). For the girls with TS randomized to receive oxandrolone from 9 years, velocity was substantially increased compared with placebo (P = 10−8). Conclusions The SITAR growth curve model is a useful epidemiological instrument for the analysis of height in puberty.
DOI: 10.1080/03014468000004641
发表时间: 1980-01-01
影响因子: 1.7
作者:
STUTZLE, W;GASSER, T;HUBER, PJ
通讯作者: HUBER, PJ
DOI: 10.1210/jc.2005-2318
发表时间: 2006-08-01
影响因子: 5.8
作者:
Sandhu, Jat;Smith, George Davey;Ben-Shlomo, Yoav
通讯作者: Ben-Shlomo, Yoav
DOI: 10.1080/03014469800005482
发表时间: 1998-03-01
影响因子: 1.7
作者:
Ledford, AW;Cole, TJ
通讯作者: Cole, TJ
DOI: 10.1093/biostatistics/kxm020
发表时间: 2008-01-01
期刊: BIOSTATISTICS
影响因子: 2.1
作者:
Cole, Tim J.;Cortina-Borja, Mario;Pan, Huiqi
通讯作者: Pan, Huiqi
DOI: 10.1080/03014467800002601
发表时间: 1978-01-01
影响因子: 1.7
作者:
PREECE, MA;BAINES, MJ
通讯作者: BAINES, MJ