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Park, So Young; Xiao, Luo; Willbur, Jayson D.; Staicu, Ana-Maria; Jumbe, N. L’ntshotsholé

A joint design for functional data with application to scheduling ultrasound scans. (English) Zbl 1469.62127

Comput. Stat. Data Anal. 122, 101-114 (2018).
Summary: 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.

Cited in 2 Documents

MSC:

62-08 Computational methods for problems pertaining to statistics
62R10 Functional data analysis
62P10 Applications of statistics to biology and medical sciences; meta analysis

Keywords:

covariance function; functional data analysis; fetal growth; longitudinal data; prediction

Software:

fda (R); R; shiny
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\textit{S. Y. Park} et al., Comput. Stat. Data Anal. 122, 101--114 (2018; Zbl 1469.62127)
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