A mixed model for investigating a population of asymptotic growth curves using restricted \(B\)-splines

DOI10.1198/JABES.2009.0004zbMath1306.62299OpenAlexW2072015562MaRDI QIDQ2259970

Joyce Leung, Geoffrey Jones, Hugh Robertson

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/jabes.2009.0004

zbMATH Keywords

hierarchical modelfunctional data analysisregression splineasymptotic growthfixed and random effects

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (3)

A Simulation Comparison of Approximate Tests for Fixed Effects in Random Coefficients Growth Curve Models ⋮ Bayesian regression with B‐splines under combinations of shape constraints and smoothness properties ⋮ Response-Adaptive Regression for Longitudinal Data

Uses Software

• MEMSS
• Unnamed Item

Cites Work

• Longitudinal data analysis using generalized linear models
• The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data
• Shape constrained smoothing using smoothing splines
• Nonparametric Mixed Effects Models for Unequally Sampled Noisy Curves
• Functional Mixed Effects Models
• Estimating Smooth Monotone Functions
• Mixed-Effects Models in S and S-PLUS
• Jackknife Estimators of Variance for Parameter Estimates from Estimating Equations with Applications to Clustered Survival Data
• Linear mixed models for longitudinal data
• The elements of statistical learning. Data mining, inference, and prediction

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