A robust approach to longitudinal data analysis

DOI10.2307/3315940zbMath1056.62025OpenAlexW2121398329MaRDI QIDQ4652917

Eva Cantoni

Publication date: 28 February 2005

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/b270c5d9646d4df41321e54c2cc1e304cdb6db31

zbMATH Keywords

estimating equationsrobust estimationrobust variable selectionnuisance parameter estimationGUIDE studyquasi-likelihoods functions

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (17)

Robust inference in the multilevel zero-inflated negative binomial model ⋮ Robust estimation of the generalised partial linear model with missing covariates ⋮ Robust estimation in generalized linear models: the density power divergence approach ⋮ \(M\)-type smoothing spline ANOVA for correlated data ⋮ Robust estimation in joint mean-covariance regression model for longitudinal data ⋮ Variable selection in robust regression models for longitudinal data ⋮ Variable Selection for Marginal Longitudinal Generalized Linear Models ⋮ Robust testing with generalized partial linear models for longitudinal data ⋮ Robust inferences in longitudinal models for binary and count panel data in the presence of outliers ⋮ Robust estimation and empirical likelihood inference with exponential squared loss for panel data models ⋮ Robust empirical likelihood inference for longitudinal data ⋮ On Bias Reduction in Robust Inference for Generalized Linear Models ⋮ Robust Estimation for Zero-Inflated Poisson Regression ⋮ Deletion measures for generalized linear mixed effects models ⋮ Algorithms for bounded-influence estimation ⋮ Robust estimating equations and bias correction of correlation parameters for longitudinal data ⋮ Robust empirical likelihood inference for generalized partial linear models with longitudinal data

Uses Software

• ROBETH

Cites Work

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• Longitudinal data analysis using generalized linear models
• Robust m-estimators of multivariate location and scatter
• Quasi-likelihood functions
• Marginally Specified Generalized Linear Mixed Models: A Robust Approach
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Robust Estimation of Dispersion Matrices and Principal Components
• Robust Bounded-Influence Tests in General Parametric Models
• Robust Restricted Maximum Likelihood in Mixed Linear Models
• Robust Inference for Generalized Linear Models
• Robust Regression for Clustered Data with Application to Binary Responses
• Approximate likelihood ratios for general estimating functions
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large

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