Cargando…

Trajectory modeling of gestational weight: A functional principal component analysis approach

Suboptimal gestational weight gain (GWG), which is linked to increased risk of adverse outcomes for a pregnant woman and her infant, is prevalent. In the study of a large cohort of Canadian pregnant women, our goals are to estimate the individual weight growth trajectory using sparsely collected bod...

Descripción completa

Detalles Bibliográficos
Autores principales:	Che, Menglu, Kong, Linglong, Bell, Rhonda C., Yuan, Yan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655493/ https://www.ncbi.nlm.nih.gov/pubmed/29065133 http://dx.doi.org/10.1371/journal.pone.0186761

Ejemplares similares

Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach
por: Pietrosanu, Matthew, et al.
Publicado: (2022)

Multipopulation mortality modelling and forecasting: the weighted multivariate functional principal component approaches
por: Lam, Ka Kin, et al.
Publicado: (2022)

Association of pre-pregnancy BMI and gestational weight gain with fat mass distribution and accretion during pregnancy and early postpartum: a prospective study of Albertan women
por: Subhan, Fatheema B, et al.
Publicado: (2019)

Principal component analysis networks and algorithms
por: Kong, Xiangyu, et al.
Publicado: (2017)

Principal component analysis
por: Gray, Virginia
Publicado: (2017)

Principal component analysis
por: Jolliffe, I T
Publicado: (1986)

Principal component analysis
por: Jolliffe, I T
Publicado: (2002)

Rankings and preferences: new results in weighted correlation and weighted principal component analysis with applications
por: Pinto da Costa, Joaquim
Publicado: (2015)

Spectral Reflectance Recovery from the Quadcolor Camera Signals Using the Interpolation and Weighted Principal Component Analysis Methods
por: Wen, Yu-Che, et al.
Publicado: (2022)

Principal component approach in variance component estimation for international sire evaluation
por: Tyrisevä, Anna-Maria, et al.
Publicado: (2011)

Generalized principal component analysis
por: Vidal, René, et al.
Publicado: (2016)

Principal Component Analysis of Munich Functional Developmental Diagnosis
por: Pazera, Grażyna, et al.
Publicado: (2021)

Characteristic Gene Selection via Weighting Principal Components by Singular Values
por: Liu, Jin-Xing, et al.
Publicado: (2012)

A comparative analysis of the principal component analysis and entropy weight methods to establish the indexing measurement
por: Wu, Robert M. X., et al.
Publicado: (2022)

Neuropsychological profile in the preclinical stages of dementia: principal component analysis approach
por: Rivera-Fernández, Claudia, et al.
Publicado: (2021)

Principal Components Analysis of Population Admixture
por: Ma, Jianzhong, et al.
Publicado: (2012)

Principal component analysis for designed experiments
por: Konishi, Tomokazu
Publicado: (2015)

Resonant quantum principal component analysis
por: Li, Zhaokai, et al.
Publicado: (2021)

Principal Component Geostatistical Approach for large-dimensional inverse problems
por: Kitanidis, P K, et al.
Publicado: (2014)

An Analysis of Trabecular Bone Structure Based on Principal Stress Trajectory
por: Zhang, Jiwu, et al.
Publicado: (2023)

Modeling and application of sensory evaluation of blueberry wine based on principal component analysis
por: Zhao, Yaqi, et al.
Publicado: (2022)

A Stochastic Restricted Principal Components Regression Estimator in the Linear Model
por: He, Daojiang, et al.
Publicado: (2014)

Genetic parameters and principal components analysis of breeding value for birth and weaning weight in Egyptian buffalo
por: Salem, Mohamed Mahmoud Ibrahim, et al.
Publicado: (2021)

Principal component analysis fosr fast and model-free denoising of multi b-value diffusion-weighted MR images
por: Gurney-Champion, Oliver J, et al.
Publicado: (2019)

Anxiety in Mice: A Principal Component Analysis Study
por: Clément, Yan, et al.
Publicado: (2007)

Cardiorespiratory Coordination after Training and Detraining. A Principal Component Analysis Approach
por: Balagué, Natàlia, et al.
Publicado: (2016)

Advances in principal component analysis: research and development
por: Naik, Ganesh R
Publicado: (2017)

Nonlinear principal component analysis and its applications
por: Mori, Yuichi, et al.
Publicado: (2016)

Association tests based on the principal-component analysis
por: Oh, Sohee, et al.
Publicado: (2007)

A Genealogical Interpretation of Principal Components Analysis
por: McVean, Gil
Publicado: (2009)

Probabilistic principal component analysis for metabolomic data
por: Nyamundanda, Gift, et al.
Publicado: (2010)

Constrained principal component analysis and related techniques
por: Takane, Yoshio
Publicado: (2013)

Stochastic convex sparse principal component analysis
por: Baytas, Inci M., et al.
Publicado: (2016)

An Eigenvalue test for spatial principal component analysis
por: Montano, V., et al.
Publicado: (2017)

Covariate-Adjusted Hybrid Principal Components Analysis
por: Scheffler, Aaron Wolfe, et al.
Publicado: (2020)

Principal Component Analysis on Recurrent Venous Thromboembolism
por: Martins, Tiago D., et al.
Publicado: (2019)

Study on Structural Characteristics of Composite Smart Grille Based on Principal Component Analysis
por: Fanxiao, Kong, et al.
Publicado: (2022)

Principal component neural networks : theory and applications
por: Diamantaras, Konstantinos I.
Publicado: (1996)

An Exploration of Pathologies of Multilevel Principal Components Analysis in Statistical Models of Shape
por: Farnell, Damian J. J.
Publicado: (2022)

Missing and Corrupted Data Recovery in Wireless Sensor Networks Based on Weighted Robust Principal Component Analysis
por: He, Jingfei, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_92amonu1gvv5quev5i0282lq17