A comparison between bootstrap methods and generalized estimating equations for correlated outcomes in generalized linear models

DOI10.1080/03610919708813417zbMath0901.62088OpenAlexW2047741946MaRDI QIDQ4387674

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Publication date: 13 May 1998

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919708813417

zbMATH Keywords

logistic regressioncorrelated datacoverage ratesstratified bootstrap

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Nonparametric statistical resampling methods (62G09)

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Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• On bootstrapping two-stage least-squares estimates in stationary linear models
• Edgeworth correction by bootstrap in autoregressions
• Bootstrapping regression models
• The jackknife and the bootstrap for general stationary observations
• Some Covariance Models for Longitudinal Count Data with Overdispersion
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Analyzing Repeated Measures on Generalized Linear Models via the Bootstrap
• Model Robust Confidence Intervals Using Maximum Likelihood Estimators
• Better Bootstrap Confidence Intervals
• Conditional logistic regression models for correlated binary data
• Approximate Inference in Generalized Linear Mixed Models
• Informative Drop-Out in Longitudinal Data Analysis
• Logistic Regression for Correlated Binary Data
• The bootstrap and Edgeworth expansion

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