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A joint design for functional data with application to scheduling ultrasound scans()

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 tr...

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Detalles Bibliográficos
Autores principales: Park, So Young, Xiao, Luo, Willbur, Jayson D., Staicu, Ana-Maria, Jumbe, N. L’ntshotsholé
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840761/
https://www.ncbi.nlm.nih.gov/pubmed/29861518
http://dx.doi.org/10.1016/j.csda.2018.01.009
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author Park, So Young
Xiao, Luo
Willbur, Jayson D.
Staicu, Ana-Maria
Jumbe, N. L’ntshotsholé
author_facet Park, So Young
Xiao, Luo
Willbur, Jayson D.
Staicu, Ana-Maria
Jumbe, N. L’ntshotsholé
author_sort Park, So Young
collection PubMed
description 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.
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spelling pubmed-58407612018-06-01 A joint design for functional data with application to scheduling ultrasound scans() Park, So Young Xiao, Luo Willbur, Jayson D. Staicu, Ana-Maria Jumbe, N. L’ntshotsholé Comput Stat Data Anal Article 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. Elsevier B.V 2018-06 /pmc/articles/PMC5840761/ /pubmed/29861518 http://dx.doi.org/10.1016/j.csda.2018.01.009 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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()
title A joint design for functional data with application to scheduling ultrasound scans()
title_full A joint design for functional data with application to scheduling ultrasound scans()
title_fullStr A joint design for functional data with application to scheduling ultrasound scans()
title_full_unstemmed A joint design for functional data with application to scheduling ultrasound scans()
title_short A joint design for functional data with application to scheduling ultrasound scans()
title_sort joint design for functional data with application to scheduling ultrasound scans()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840761/
https://www.ncbi.nlm.nih.gov/pubmed/29861518
http://dx.doi.org/10.1016/j.csda.2018.01.009
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