Confidence interval estimation for standardized effect sizes in multilevel and latent growth modeling.
Confidence interval estimation for standardized effect sizes in multilevel and latent growth modeling.
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DOI：
10.1037/a0037721
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发表时间：
2015-02
影响因子：
5.9
通讯作者：
Feingold, Alan
中科院分区：
文献类型：
--
作者：
Feingold, Alan
关键词：
多水平和潜在增长模型经常交替使用，以检验受控临床试验结果轨迹的组间差异。在研究结束时，来自这种模型的从组到斜率的非标准化效应系数(处理效果)可以转换为治疗组和对照组之间的标准化平均差(Cohen‘s d)。本文讨论了该效应大小的可信区间(CI)。推导了多水平模型中用于估计治疗效果大小的CI的两组方程，并用来自全国青年研究的数据说明了它们的用法。通过操纵效应效力和样本大小的蒙特卡罗模拟研究来检验顺式效应的有效性。证明了两种新的CI估计方法的等价性，蒙特卡罗研究发现，对于效应大小的CI的偏差并不明显大于对于广泛使用的非标准化系数的CI的偏差。研究人员报告了这一日益流行的效应大小，可以用本文中提出的公式估计其CI。
Multilevel and latent growth models are frequently used interchangeably to examine differences between groups in trajectories of outcomes from controlled clinical trials. The unstandardized coefficient for the effect from group to slope (the treatment effect) from such models can be converted to a standardized mean difference (Cohen's d) between the treatment and control groups at end of study. This article addresses the confidence interval (CI) for this effect size. Two sets of equations for estimating the CI for the treatment effect size in multilevel models were derived and their usage was illustrated with data from the National Youth Study. Validity of the CIs was examined with a Monte Carlo simulation study that manipulated effect potency and sample size. The equivalence of the two new CI estimation methods was demonstrated and the Monte Carlo study found that bias in the CI for the effect size were not appreciably larger than bias in the CI for the widely used unstandardized coefficient. Investigators reporting this increasingly popular effect size can estimate its CI with equations presented in this article.
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影响因子：
5.9
作者：
Chaffin, Mark;Funderburk, Beverly;Gurwitch, Robin
通讯作者：
Gurwitch, Robin
影响因子：
3.4
作者：
Feingold, Alan;Tiberio, Stacey S.;Capaldi, Deborah M.
通讯作者：
Capaldi, Deborah M.
影响因子：
16.4
作者：
FEINGOLD, A
通讯作者：
FEINGOLD, A
影响因子：
4
作者：
Baguley, Thom
通讯作者：
Baguley, Thom
DOI：
10.1111/j.2517-6161.1977.tb01600.x
发表时间：
1977-01-01
期刊：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL
影响因子：
--
作者：
DEMPSTER, AP;LAIRD, NM;RUBIN, DB
通讯作者：
RUBIN, DB