Likelihood and conditional likelihood inference for generalized additive mixed models for clustered data

DOI10.1016/j.jmva.2004.04.007zbMath1051.62041OpenAlexW2093314717MaRDI QIDQ1882936

Daowen Zhang, Marie Davidian

Publication date: 1 October 2004

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2004.04.007

zbMATH Keywords

Smoothing splineLongitudinal dataVariance componentsMarginal likelihood

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items

Local linear mixed effect models -- model specification and interpretation in a biological context, The role of conditional likelihoods in latent variable modeling

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
• Conditional inference about generalized linear mixed models
• A Linear Mixed-Effects Model With Heterogeneity in the Random-Effects Population
• Semiparametric Stochastic Mixed Models for Longitudinal Data
• Inference in Generalized Additive Mixed Models by Using Smoothing Splines
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• A Smooth Nonparametric Estimate of a Mixing Distribution Using Mixtures of Gaussians
• An Estimation Method for the Semiparametric Mixed Effects Model
• A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
• Approximate Inference in Generalized Linear Mixed Models
• A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribution
• Linear mixed models for longitudinal data