Dimension reduction in a semiparametric regression model with errors in covariates

DOI10.1214/aos/1176324461zbMath0822.62022OpenAlexW2024773236MaRDI QIDQ1895352

C. Y. Wang, R. K. Knickerbocker, Raymond J. Carroll

Publication date: 18 October 1995

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176324461

zbMATH Keywords

kernel regressionsemiparametric estimationlogistic regressioncovariateserrors-in-variablesnonparametric regressionsurrogatesdimension reduction techniqueslinear combination of the observed covariates

Mathematics Subject Classification ID

Density estimation (62G07) Generalized linear models (logistic models) (62J12)

Related Items (12)

Estimation in the Cox Model with Missing Covariate Data ⋮ Covariate measurement error correction methods in mediation analysis with failure time data ⋮ Regression model for surrogate data in high dimensional statistics ⋮ Likelihood-based kernel estimation in semiparametric errors-in-covariables models with validation data ⋮ Semiparametric errors-in-variables models. A Bayesian approach ⋮ Estimation of semi-varying coefficient model with surrogate data and validation sampling ⋮ Dimension reduction in partly linear error-in-response models with validation data ⋮ A semiparametric pseudo-score method for analysis of two-phase studies with continuous phase-I covariates ⋮ Nonparametric estimation of varying coefficient error-in-variable models with validation sampling ⋮ Nonparametric regression function estimation with surrogate data and validation sampling ⋮ Statistical estimation in varying coefficient models with surrogate data and validation sampling ⋮ Estimation of semi-varying coefficient error-in-variable models with surrogate data and validation sample

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