Poisson regression with measurement error in covariate

Abstract

Poisson and negative binomial regression are widely used in analyzing count data or count data with extra-Poisson variation in the fields of epidemiology, medical research and biology. Numerous methods have been suggested for dealing with these kinds of problems. However, most of these methods have only been applied to the models with the assumption that all the covariates were measured without error. However, ignoring the measurement error structure would cause biases in the estimation of parameter and hence lead to inaccuracy in the analysis....[ Read more ]