Functional Mixed Effects Model for the Analysis of Dose-Titration Studies

Functional Mixed Effects Model for the Analysis of Dose-Titration Studies
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用于分析剂量滴定研究的功能混合效应模型

DOI:
10.1080/19466315.2018.1458649
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发表时间:
2018-01-01
影响因子:
1.8
通讯作者:
Zhou, Yingchun
Zhou, Yingchun
中科院分区:
医学4区
文献类型:
--
作者:
Chen, Ji;Ohlssen, David;Zhou, Yingchun

文献摘要

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摘要功能数据分析分析可以用曲线或图像表示的数据,在临床试验中有许多潜在的应用。受一个真实的例子的启发,本研究构建了一个功能性混合效应模型,用于分析一个长期连续观察的临床结果。一个惩罚样条(P样条)的方法被施加到获得的平均函数和时变系数的估计。仿真研究进行调查的一致性,效率和鲁棒性的方法。为了说明使用的方法,一个真实的数据分析进行,并产生可解释的结果。
ABSTRACT Functional data analysis, which analyzes data that can be represented by curves or images, has many potential applications in clinical trials. Motivated by a real example, this study constructs a functional mixed effects model for analyzing a clinical outcome that is observed continuously over a long period of time. A penalized spline (P-spline)-based method is applied to obtain the estimators of the mean function and the time-varying coefficients. Simulation studies are conducted to investigate the consistency, efficiency, and robustness of the method. To illustrate the use of the method, a real data analysis is performed and produces interpretable results.