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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V
2018
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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 |
_version_ | 1783304636961128448 |
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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. |
format | Online Article Text |
id | pubmed-5840761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier B.V |
record_format | MEDLINE/PubMed |
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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