A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Statistical analysis with measurement error or misclassification. Strategy, method and application
On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables
Berkson measurement error in designed repeated measures studies with random coefficients
Markov chain Monte Carlo with the integrated nested Laplace approximation
Bayesian methods for dealing with missing data problems
Bayesian two-component measurement error modelling for survival analysis using INLA -- a case study on cardiovascular disease mortality in Switzerland
Multiple imputation and functional methods in the presence of measurement error and missingness in explanatory variables
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
Measurement error caused by spatial misalignment in environmental epidemiology
Measurement Error
Bayesian Analysis of Errors-in-Variables Regression Models
Mixtures of Berkson and classical covariate measurement error in the linear mixed model: Bias analysis and application to a study on ultrafine particles
A Bayesian model for measurement and misclassification errors alongside missing data, with an application to higher education participation in Australia
Importance Sampling with the Integrated Nested Laplace Approximation
Bayesian Inference with INLA
Flexible Imputation of Missing Data, Second Edition
Measurement Error in Nonlinear Models
Are There Two Regressions?
Missing data: A statistical framework for practice
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology. I: Basic theory and simple methods of adjustment
Bayesian analysis of measurement error models using integrated nested Laplace approximations
Bayesian inference for partially identified models

This page was built for publication: A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations