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Estimation and inference of error-prone covariate effect in the presence of confounding variables

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Publication:521309
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DOI10.1214/17-EJS1242zbMath1359.62190WikidataQ41825494 ScholiaQ41825494MaRDI QIDQ521309

Jianxuan Liu, Yanyuan Ma, Raymond J. Carroll, Li-ping Zhu

Publication date: 7 April 2017

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1488423805

zbMATH Keywords

measurement errorsemiparametric efficiencysingle index modelconfounding effectprimary effect


Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Hypothesis testing in multivariate analysis (62H15)


Related Items

Adaptive structure inferences on partially linear error-in-function models with error-prone covariates, A semiparametric method for evaluating causal effects in the presence of error‐prone covariates, Locally efficient estimation in generalized partially linear model with measurement error in nonlinear function



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