Estimated Estimating Equations: Semiparametric Inference for Clustered and Longitudinal Data

DOI10.1111/j.1467-9868.2005.00514.xzbMath1095.62046OpenAlexW2033513426MaRDI QIDQ5473053

Jeng-Min Chiou, Hans-Georg Müller

Publication date: 19 June 2006

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9868.2005.00514.x

zbMATH Keywords

smoothingsemiparametric regressiongeneralized estimating equationsdiagnosticsquasi-likelihoodrepeated measurementsmarginal modelgeneralized linear mixed modellink selectionvariance-covariance function

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Related Items

A semiparametric model for cluster data, Empirical likelihood inference in partially linear single-index models for longitudinal data, Automatic variable selection for longitudinal generalized linear models, A comparison of efficiencies between quasi-likelihood and pseudo-likelihood estimates in non-separable spatial-temporal binary data, Estimation and model selection in a class of semiparametric models for cluster data, A novel robust approach for analysis of longitudinal data, Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data, Inferences in semi-parametric dynamic mixed models for longitudinal count data, GEE analysis of clustered binary data with diverging number of covariates, Analysis of spatial frailty models by a weighted estimating equation, Consistent Model Selection and Data-Driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach, Generalised partial linear single-index mixed models for repeated measures data, Variable selection and estimation for partially linear single-index models with longitudinal data, Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes, Partly Functional Temporal Process Regression with Semiparametric Profile Estimating Functions

Uses Software

• SAS
• SAS/STAT

Cites Work

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