Nonparametric Growth Curve Model with Local Linear Approximation

DOI10.1080/03610920500498790zbMath1093.62046OpenAlexW2054990215MaRDI QIDQ5484657

Kenichi Satoh, Megu Ohtaki

Publication date: 21 August 2006

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920500498790

zbMATH Keywords

longitudinal datakernel smoothingrepeated measuresgrowth curve modelrandom effecttime-varying coefficient model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12)

Related Items (3)

A NONPARAMETRIC MIXED-EFFECTS MODEL FOR CANCER MORTALITY ⋮ Unnamed Item ⋮ Estimation of Varying Coefficients for a Growth Curve Model

Cites Work

• Unnamed Item
• Random-Effects Models for Longitudinal Data
• Functional Mixed Effects Models
• Mixed Effects Smoothing Spline Analysis of Variance
• Semiparametric Stochastic Mixed Models for Longitudinal Data
• Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
• Marginal nonparametric kernel regression accounting for within-subject correlation
• Local Polynomial Mixed-Effects Models for Longitudinal Data
• Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
• Bridging the Gap BetweenB-Spline and Polynomial Regression Model
• Equivalent kernels of smoothing splines in nonparametric regression for clustered/longitudinal data

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