Analysis of Infant Growth Curves Using Multivariate Adaptive Splines

DOI10.1111/j.0006-341X.1999.00452.xzbMath1059.62740OpenAlexW2018101679WikidataQ43585672 ScholiaQ43585672MaRDI QIDQ4666584

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Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.1999.00452.x

zbMATH Keywords

longitudinal datamodel selectionrepeated measurestime-dependent covariatesadaptive splines

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

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Cites Work

• Random-Effects Models for Longitudinal Data
• Nonparametric curve estimation with time series errors
• Multivariate adaptive regression splines
• An iterated cochrane-orcutt procedure for nonparametric regression
• Flexible Parsimonious Smoothing and Additive Modeling
• Maximal Correlation and Adaptive Splines
• Informative Drop-Out in Longitudinal Data Analysis

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