Empirical simulation extrapolation for measurement error models with replicate measurements.

DOI10.1016/S0167-7152(02)00098-6zbMath1092.62558OpenAlexW1966369305MaRDI QIDQ1871275

Viswanath Devanarayan, Leonard A. Stefanski

Publication date: 7 May 2003

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(02)00098-6

zbMATH Keywords

momentsSimulationHeteroscedasticityLogistic regressionErrors-in-variablesVariance componentsMethod of

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (19)

Bias analysis and the simulation-extrapolation method for survival data with covariate measurement error under parametric proportional odds models ⋮ Bayesian semiparametric regression in the presence of conditionally heteroscedastic measurement and regression errors ⋮ Variance Estimation in the Analysis of Microarray Data ⋮ Simulation-extrapolation with latent heteroskedastic error variance ⋮ Semiparametric regression for measurement error model with heteroscedastic error ⋮ R package for analysis of data with mixed measurement error and misclassification in covariates: augSIMEX ⋮ Empirical Bayes Mean Estimation With Nonparametric Errors Via Order Statistic Regression on Replicated Data ⋮ Categorizing a continuous predictor subject to measurement error ⋮ Unnamed Item ⋮ Accelerated convergence for nonparametric regression with coarsened predictors ⋮ A Regularization Corrected Score Method for Nonlinear Regression Models with Covariate Error ⋮ A Semiparametric Approach for Accelerated Failure Time Models with Covariates Subject to Measurement Error ⋮ Replicated measurement error model under exact linear restrictions ⋮ An Empirical Comparison of Estimating Methods for the Ramberg–Osgood EIV Model ⋮ Nonparametric Methods for Solving the Berkson Errors-in-Variables Problem ⋮ Correction for item response theory latent trait measurement error in linear mixed effects models ⋮ Model-based bootstrapping when correcting for measurement error with application to logistic regression ⋮ Likelihood-based and marginal inference methods for recurrent event data with covariate measurement error ⋮ Empirical simulation extrapolation for measurement error models with replicate measurements.

Cites Work

• Unnamed Item
• Unnamed Item
• Empirical simulation extrapolation for measurement error models with replicate measurements.
• Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models
• Simulation-Extrapolation: The Measurement Error Jackknife
• On errors-in-variables for binary regression models
• Bias Analysis and SIMEX Approach in Generalized Linear Mixed Measurement Error Models
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Nonparametric regression in the presence of measurement error

This page was built for publication: Empirical simulation extrapolation for measurement error models with replicate measurements.