Consistent Model Selection and Data-Driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach
DOI10.1111/j.1467-9868.2008.00679.xzbMath1231.62074OpenAlexW2109395830MaRDI QIDQ3551037
Publication date: 8 April 2010
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.1467-9868.2008.00679.x
model checkinggeneralized estimating equationsNeyman smooth testcorrelated datamarginal modelquadratic inference functionBayes information criterion
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Monte Carlo methods (65C05)
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- Large Sample Properties of Generalized Method of Moments Estimators
- Improving generalised estimating equations using quadratic inference functions
- Asymptotic properties of criteria for selection of variables in multiple regression
- On the choice of a model to fit data from an exponential family
- Estimating the dimension of a model
- Nonparametric smoothing and lack-of-fit tests
- Information-theoretic determination of minimax rates of convergence
- Inference functions and quadratic score tests
- Asymptotic results with generalized estimating equations for longitudinal data
- Akaike's Information Criterion in Generalized Estimating Equations
- Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
- Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation
- Data-Driven Version of Neyman's Smooth Test of Fit
- Data-Driven Smooth Tests When the Hypothesis Is Composite
- Goodness‐of‐fit Tests for GEE with Correlated Binary Data
- Analysis of clustered data: A combined estimating equations approach
- Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance
- On modelling mean-covariance structures in longitudinal studies
- Consistent Moment Selection Procedures for Generalized Method of Moments Estimation
- Extended Generalized Estimating Equations for Clustered Data
- Data-Driven Rank Tests for Independence
- Model Selection and Multimodel Inference
- Goodness-of-Fit Tests for GEE Modeling with Binary Responses
- Analysis of Serially Correlated Data Using Quasi-Least Squares
- Generalized Estimating Equations
- A Caveat Concerning Independence Estimating Equations with Multivariate Binary Data
- Estimated Estimating Equations: Semiparametric Inference for Clustered and Longitudinal Data
- Variable Selection for Marginal Longitudinal Generalized Linear Models
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