Semiparametric approach for non‐monotone missing covariates in a parametric regression model

DOI10.1111/biom.12159zbMath1419.62450OpenAlexW2160948890WikidataQ33769814 ScholiaQ33769814MaRDI QIDQ5170197

Suojin Wang, Samiran Sinha, Krishna K. Saha

Publication date: 22 July 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4061254

zbMATH Keywords

dimension reductionmissing at randomestimating equationsnon-ignorable missing datarobust method

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

On the \(L_p\) norms of kernel regression estimators for incomplete data with applications to classification ⋮ On histogram-based regression and classification with incomplete data ⋮ Semiparametric model for regression analysis with nonmonotone missing data ⋮ Semiparametric estimation in regression with missing covariates using single-index models

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