Estimation of regression parameters in generalized linear models for cluster correlated data with measurement error

DOI10.2307/3315624zbMath1066.62531OpenAlexW2032276186MaRDI QIDQ4715846

J. N. K. Rao, Brajendra Chandra Sutradhar

Publication date: 1996

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

Full work available at URL: https://doi.org/10.2307/3315624

zbMATH Keywords

Bias correctionestimating equationsbinary logistic regressionconditional scoresquasilikelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Generalized linear models (logistic models) (62J12)

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Cites Work

• Longitudinal data analysis using generalized linear models
• Covariate measurement error in logistic regression
• Corrected score function for errors-in-variables models: Methodology and application to generalized linear models
• Measurement error in the generalised linear model
• The effects of measurement error on parameter estimation
• On the use of a working correlation matrix in using generalised linear models for repeated measures
• Regression analysis of correlated binary data: some small sample results for the estimating equation approach
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