Bias in gee estimates from misspecified models for longitudinal data

DOI10.1080/03610929708831899zbMath0925.62086OpenAlexW2159037197MaRDI QIDQ4337299

John Ritz, Mary J. Emond, David Oakes

Publication date: 13 January 1999

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929708831899

zbMATH Keywords

generalized estimating equationsmisspecificationmarginal modelconditional model

Mathematics Subject Classification ID

Point estimation (62F10) Linear inference, regression (62J99)

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Pseudo Maximum Likelihood Methods: Theory
• Conditional logistic regression models for correlated binary data
• Maximum Likelihood Estimation of Misspecified Models

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