Park So Young, Xiao Luo, Willbur Jayson D, Staicu Ana-Maria, Jumbe N L'ntshotsholé
Eli Lilly and Company, Indianapolis, IN, USA.
North Carolina State University, Raleigh, NC, USA.
Comput Stat Data Anal. 2018 Jun;122:101-114. doi: 10.1016/j.csda.2018.01.009.
A joint design for sampling functional data is proposed to achieve optimal prediction of both functional data and a scalar outcome. The motivating application is fetal growth, where the objective is to determine the optimal times to collect ultrasound measurements in order to recover fetal growth trajectories and to predict child birth outcomes. The joint design is formulated using an optimization criterion and implemented in a pilot study. Performance of the proposed design is evaluated via simulation study and application to fetal ultrasound data.
提出了一种用于抽样功能数据的联合设计,以实现对功能数据和标量结果的最优预测。其激励应用是胎儿生长,目标是确定收集超声测量的最佳时间,以便恢复胎儿生长轨迹并预测儿童出生结果。联合设计通过优化标准制定,并在一项试点研究中实施。通过模拟研究和对胎儿超声数据的应用来评估所提出设计的性能。