Bias Analysis and SIMEX Approach in Generalized Linear Mixed Measurement Error Models
From MaRDI portal
Publication:3839598
DOI10.2307/2669621zbMath0906.62069OpenAlexW4256184924MaRDI QIDQ3839598
Naisyin Wang, Roberto G. Gutierrez, Xihong Lin, Raymond J. Carroll
Publication date: 9 August 1998
Full work available at URL: https://doi.org/10.2307/2669621
asymptotic biasrandom effectsvariance componentsmeasurement errorSIMEX methodcorrected penalized quasi-likelihood
Related Items
Likelihood inference in generalized linear mixed measurement error models, Simulation-Extrapolation via the Bezier Curve in Measurement Error Models, Estimation in mixed effects model with errors in variables, Measurement Error in Covariates in the Marginal Hazards Model for Multivariate Failure Time Data, Regression analysis of current status data with auxiliary covariates and informative observation times, Estimation in Semiparametric Transition Measurement Error Models for Longitudinal Data, Regression analysis of case II interval-censored data with auxiliary covariates, Regression analysis of multivariate current status data with auxiliary covariates under the additive hazards model, Estimation of variance components in linear mixed measurement error models, Sampling schemes for generalized linear Dirichlet process random effects models, Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies, Validation data-located modification for the multilevel analysis of miscategorized nominal response with covariates subject to measurement error, Asymptotics of SIMEX-based variance estimation, SIMEX and standard error estimation in semiparametric measurement error models, Bias in maximum likelihood estimation of disequilibrium and sample selection models with error-ridden observations., Methods to assess measurement error in questionnaires of sedentary behavior, Laplace approximation in measurement error models, On a symmetrized simulation extrapolation estimator in linear errors-in-variables models, Robust linear functional mixed models, Statistical models for exposure-biomarker relationships with measurement error and censoring, Repeated Probit Regression When Covariates Are Measured With Error, SIMEX Variance Component Tests in Generalized Linear Mixed Measurement Error Models, Correcting for Measurement Error in Individual‐Level Covariates in Nonlinear Mixed Effects Models, Regression Analysis of Current Status Data Under the Additive Hazards Model with Auxiliary Covariates, Modeling continuous auxiliary covariate data in generalized linear mixed models using the kernel smoother, Consistency of the estimator of cumulative hazard function in estimated pseudo-partial-likelihood approach, Robust estimation in linear regression models for longitudinal data with covariate measurement errors and outliers, Generalized partially linear mixed-effects models incorporating mismeasured covariates, Reducing measurement error in student achievement estimation, Random Effects Logistic Regression Analysis with Auxiliary Covariates, Modelling measurement errors and category misclassifications in multilevel models, Residuals and leverages in the linear mixed measurement error models, Seemingly Unrelated Measurement Error Models, with Application to Nutritional Epidemiology, New findings from terrorism data: Dirichlet process random-effects models for latent groups, Structural Inference in Transition Measurement Error Models for Longitudinal Data, Estimated Pseudopartial‐Likelihood Method for Correlated Failure Time Data with Auxiliary Covariates, Likelihood-based and marginal inference methods for recurrent event data with covariate measurement error, Empirical simulation extrapolation for measurement error models with replicate measurements.