Profile clustering in clinical trials with longitudinal and functional data methods
Profile clustering in clinical trials with longitudinal and functional data methods
复制标题
使用纵向和功能数据方法进行临床试验中的概况聚类
DOI：
10.1080/10543406.2019.1572614
复制
发表时间：
2019-05-04
影响因子：
1.1
通讯作者：
Zhou, Yingchun
中科院分区：
文献类型：
--
作者：
Gong, Hangjun;Xun, Xiaolei;Zhou, Yingchun
ABSTRACT Repeated measurements are widely encountered in medical or pharmaceutical studies, which can be analyzed by both longitudinal data and functional data analysis methods, particularly when the underlying process is continuous and the number of measurement points is not too small. Motivated by real problems of clustering patient profiles in clinical trials, this paper gives an overview of the clustering methods for repeated measurement data and compares three longitudinal data methods and two functional data methods with extensive simulation studies. Methods with appropriate properties are applied to the real data to produce interpretable results.
