Approximations for Regression with Covariate Measurement Error

DOI10.2307/2290136zbMath0672.62078OpenAlexW4241800998MaRDI QIDQ3825964

Alice S. Whittemore, Joseph B. Keller

Publication date: 1988

Full work available at URL: https://doi.org/10.2307/2290136

zbMATH Keywords

air pollutionmaximum likelihoodnonlinear regressionerrors in variablesgeneralized linear modelscovariate measurement errorcontinuous covariatesrespiratory diseaseBerkson error modelsmaximum quasilikelihood estimatesmisclassification of discrete covariates

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99) General nonlinear regression (62J02)

Related Items (12)

Rank transformations when oovariables are measured with error or mismodelled ⋮ Estimation of nonlinear errors-in-variables models: an approximate solution ⋮ Correcting data for measurement error in generalized linear models ⋮ Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models ⋮ Theoretical aspects of ill-posed problems in statistics ⋮ Inference in the additive risk model with time-varying covariates subject to measurement errors ⋮ Multivariate regression estimation with errors-in-variables: Asymptotic normality for mixing processes ⋮ The indirect method: inference based on intermediate statistics -- a synthesis and examples ⋮ Semiparametric quasilikelihood and variance function estimation in measurement error models ⋮ Adjusting regression attenuation in the Cox proportional hazards model ⋮ Multivariate regression estimation with errors-in-variables for stationary processes ⋮ Applied regression analysis bibliography update 1988-89

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