A bias correction regression calibration approach in generalized linear mixed measurement error models

DOI10.1080/03610929908832292zbMath0919.62073OpenAlexW2004579136MaRDI QIDQ4237857

Naisyin Wang, Xihong Lin, Roberto G. Gutierrez

Publication date: 9 September 1999

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

Full work available at URL: https://doi.org/10.1080/03610929908832292

zbMATH Keywords

asymptotic biasrandom effectsvariance componentsM-estimatorcorrected penalized quasi-likelihood

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

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APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001 ⋮ Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies ⋮ Methods to assess measurement error in questionnaires of sedentary behavior ⋮ Laplace approximation in measurement error models ⋮ Correcting for Measurement Error in Individual‐Level Covariates in Nonlinear Mixed Effects Models

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