Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development

10.1371/journal.pone.0207073

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Bibliographic Details
Main Authors:	Han K., Hadjipantelis P.Z., Wang J.-L., Kramer M.S., Yang S., Martin R.M., Müller H.-G.
Other Authors:	OBSTETRICS & GYNAECOLOGY
Format:	Article
Published:	2019
Subjects:	Article body height body weight child growth childhood cognitive development cohort analysis conceptual framework controlled study dynamics function test functional assessment head circumference infancy intelligence quotient mental performance multivariate analysis principal component analysis stunting time factor cognition growth, development and aging intelligence longitudinal study physiology risk statistical model Cognition Growth and Development Intelligence Longitudinal Studies Models, Statistical Multivariate Analysis Principal Component Analysis Risk Time Factors
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/161210
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1612102024-11-08T20:11:12Z Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development Han K. Hadjipantelis P.Z. Wang J.-L. Kramer M.S. Yang S. Martin R.M. Müller H.-G. OBSTETRICS & GYNAECOLOGY Article body height body weight child growth childhood cognitive development cohort analysis conceptual framework controlled study dynamics function test functional assessment head circumference infancy intelligence quotient mental performance multivariate analysis principal component analysis stunting time factor cognition growth, development and aging intelligence longitudinal study physiology principal component analysis risk statistical model Cognition Growth and Development Intelligence Longitudinal Studies Models, Statistical Multivariate Analysis Principal Component Analysis Risk Time Factors 10.1371/journal.pone.0207073 PLoS ONE 13 11 e0207073. 2019-11-01T08:11:39Z 2019-11-01T08:11:39Z 2018 Article Han K., Hadjipantelis P.Z., Wang J.-L., Kramer M.S., Yang S., Martin R.M., Müller H.-G. (2018). Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development. PLoS ONE 13 (11) : e0207073.. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0207073 19326203 https://scholarbank.nus.edu.sg/handle/10635/161210 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Article body height body weight child growth childhood cognitive development cohort analysis conceptual framework controlled study dynamics function test functional assessment head circumference infancy intelligence quotient mental performance multivariate analysis principal component analysis stunting time factor cognition growth, development and aging intelligence longitudinal study physiology principal component analysis risk statistical model Cognition Growth and Development Intelligence Longitudinal Studies Models, Statistical Multivariate Analysis Principal Component Analysis Risk Time Factors
spellingShingle	Article body height body weight child growth childhood cognitive development cohort analysis conceptual framework controlled study dynamics function test functional assessment head circumference infancy intelligence quotient mental performance multivariate analysis principal component analysis stunting time factor cognition growth, development and aging intelligence longitudinal study physiology principal component analysis risk statistical model Cognition Growth and Development Intelligence Longitudinal Studies Models, Statistical Multivariate Analysis Principal Component Analysis Risk Time Factors Han K. Hadjipantelis P.Z. Wang J.-L. Kramer M.S. Yang S. Martin R.M. Müller H.-G. Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development
description	10.1371/journal.pone.0207073
author2	OBSTETRICS & GYNAECOLOGY
author_facet	OBSTETRICS & GYNAECOLOGY Han K. Hadjipantelis P.Z. Wang J.-L. Kramer M.S. Yang S. Martin R.M. Müller H.-G.
format	Article
author	Han K. Hadjipantelis P.Z. Wang J.-L. Kramer M.S. Yang S. Martin R.M. Müller H.-G.
author_sort	Han K.
title	Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development
title_short	Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development
title_full	Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development
title_fullStr	Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development
title_full_unstemmed	Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development
title_sort	functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/161210
_version_	1821198295602561024

Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development

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