Semiparametric estimation of logistic regression model with missing covariates and outcome

DOI10.1007/s00184-011-0345-9zbMath1362.62089OpenAlexW2041257589MaRDI QIDQ1936669

Li-Hui Huang, Shu-Hui Hsieh, Shen-Ming Lee, Chin-Shang Li

Publication date: 6 February 2013

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-011-0345-9

zbMATH Keywords

logistic regression modelmissing covariatesmissing valuemissing outcome

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (8)

Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates ⋮ Semiparametric estimation of a zero-inflated Poisson regression model with missing covariates ⋮ Estimation of parameters of logistic regression with covariates missing separately or simultaneously ⋮ Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods ⋮ An alternative to unrelated randomized response techniques with logistic regression analysis ⋮ Logistic regression with outcome and covariates missing separately or simultaneously ⋮ On histogram-based regression and classification with incomplete data ⋮ Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods

Uses Software

• BLINPLUS
• relibpls8

Cites Work

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• Semiparametric efficient estimation for the auxiliary outcome problem with the conditional mean model
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• A Generalization of Sampling Without Replacement From a Finite Universe

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