A new semiparametric procedure for matched case-control studies with missing covariates

DOI10.1080/10485250903019523zbMath1172.62010OpenAlexW2106545062MaRDI QIDQ3182741

Suojin Wang, Samiran Sinha

Publication date: 16 October 2009

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

Full work available at URL: https://doi.org/10.1080/10485250903019523

zbMATH Keywords

kernel regressionmissing at randomestimating equationconditional logistic regressionmatched case-control studyendometrial cancer

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)

Related Items (2)

Handling missing data in matched case‐control studies using multiple imputation ⋮ An estimated-score approach for dealing with missing covariate data in matched case-control studies

Cites Work

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• Likelihood Methods for Missing Covariate Data in Highly Stratified Studies
• Inferences About Exposure-Disease Associations Using Probability-of- Exposure Information
• Computationally efficient classes of higher‐order kernel functions
• Matched Case–Control Data Analyses with Missing Covariates
• Semiparametric Bayesian Analysis of Case–Control Data under Conditional Gene‐Environment Independence
• Semiparametric Bayesian Analysis of Matched Case-Control Studies With Missing Exposure

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