Marginal analysis of longitudinal count data in long sequences: methods and applications to a driving study

DOI10.1214/11-AOAS507zbMath1235.62037arXiv1203.3638OpenAlexW3106428264WikidataQ31079526 ScholiaQ31079526MaRDI QIDQ2428734

Zhiwei Zhang, Paul S. Albert, Bruce Simons-Morton

Publication date: 20 April 2012

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1203.3638

zbMATH Keywords

correlationoverdispersionrandom effectsgeneralized estimating equationwithin-cluster resamplingmultiple outputationseparated blocks

Mathematics Subject Classification ID

Related Items (1)

Bayesian Hierarchical Poisson Regression Models: An Application to a Driving Study With Kinematic Events

Cites Work

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• Longitudinal data analysis using generalized linear models
• A Covariance Estimator for GEE with Improved Small‐Sample Properties
• Random-Effects Models for Longitudinal Data
• The jackknife and the bootstrap for general stationary observations
• Within-cluster resampling
• Multiple Outputation: Inference for Complex Clustered Data by Averaging Analyses from Independent Data
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Repeated measurement analysis for nonnormal data in small samples
• A regression model for time series of counts
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• On autocorrelation in a Poisson regression model
• Window Subsampling of Estimating Functions with Application to Regression Models
• Monte Carlo EM Estimation for Time Series Models Involving Counts
• A Generalized Estimating Equations Approach for Spatially Correlated Binary Data: Applications to the Analysis of Neuroimaging Data
• Analyzing Spatially Distributed Binary Data Using Independent‐Block Estimating Equations

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