SIMEX Variance Component Tests in Generalized Linear Mixed Measurement Error Models

DOI10.1111/j.0006-341X.1999.00613.xzbMath1059.62569WikidataQ43999081 ScholiaQ43999081MaRDI QIDQ4666617

Xihong Lin, Raymond J. Carroll

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

random effectsvariance componentsscore testsmeasurement error

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Generalized linear models (logistic models) (62J12)

Related Items

Extrapolation estimation for nonparametric regression with measurement error, On a symmetrized simulation extrapolation estimator in linear errors-in-variables models, Robust linear functional mixed models, Testing homogeneity in Weibull error in variables models, Testing the Correlation for Clustered Categorical and Censored Discrete Time-to-Event Data When Covariates Are Measured without/with Errors

Cites Work

• Unnamed Item
• Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models
• Simulation-Extrapolation: The Measurement Error Jackknife
• A locally most powerful test for homogeneity with many strata
• Bias Analysis and SIMEX Approach in Generalized Linear Mixed Measurement Error Models
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Variance component testing in generalised linear models with random effects
• Approximate Inference in Generalized Linear Mixed Models
• Test of Homogeneity of Binary Data with Explanatory Variables