A joint design for functional data with application to scheduling ultrasound scans.
| Autor: | Park SY; Eli Lilly and Company, Indianapolis, IN, USA., Xiao L; North Carolina State University, Raleigh, NC, USA., Willbur JD; Metrum Research Group LLC, Tariffville, CT, USA., Staicu AM; North Carolina State University, Raleigh, NC, USA., Jumbe NL; Bill & Melinda Gates Foundation, Seattle, WA, USA. |
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| Jazyk: | angličtina |
| Zdroj: | Computational statistics & data analysis [Comput Stat Data Anal] 2018 Jun; Vol. 122, pp. 101-114. |
| DOI: | 10.1016/j.csda.2018.01.009 |
| Abstrakt: | 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. |
| Databáze: | MEDLINE |
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