Marginal longitudinal semiparametric regression via penalized splines

DOI10.1016/j.spl.2010.04.002zbMath1190.62085OpenAlexW1984883045WikidataQ34245182 ScholiaQ34245182MaRDI QIDQ984018

M. Al Kadiri, Raymond J. Carroll, Matthew P. Wand

Publication date: 13 July 2010

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://ro.uow.edu.au/cssmwp/25

zbMATH Keywords

varying coefficient modelsadditive modelsmaximum likelihoodnonparametric regressionGibbs samplingrestricted maximum likelihoodbest prediction

Mathematics Subject Classification ID

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

Related Items

Optimal shrinkage estimations in partially linear single-index models for binary longitudinal data

Uses Software

• R
• nlme
• WinBUGS
• SemiPar
• BRugs

Cites Work

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• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Semiparametric regression during 2003--2007
• General design Bayesian generalized linear mixed models
• Estimation of the covariance matrix of random effects in longitudinal studies
• Simple Incorporation of Interactions into Additive Models
• Profile-kernel versus backfitting in the partially linear models for longitudinal/clustered data
• ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES
• A COMPARISON OF MIXED MODEL SPLINES FOR CURVE FITTING
• On the asymptotics of penalized splines
• Nonparametric additive regression for repeatedly measured data
• Semiparametric Regression
• Marginal nonparametric kernel regression accounting for within-subject correlation
• Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
• Marginal Longitudinal Nonparametric Regression
• Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
• Marginally Specified Logistic‐Normal Models for Longitudinal Binary Data
• Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
• Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function
• Correlation and Marginal Longitudinal Kernel Nonparametric Regression
• Local polynomial regression analysis of clustered data
• Semiparametric Estimation of Covariance Matrixes for Longitudinal Data
• Semiparametric Estimation in General Repeated Measures Problems
• Equivalent kernels of smoothing splines in nonparametric regression for clustered/longitudinal data
• Recovery of inter-block information when block sizes are unequal
• Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data