Multiply robust nonparametric multiple imputation for the treatment of missing data

DOI10.5705/SS.202017.0126zbMath1432.62145OpenAlexW2811509495MaRDI QIDQ5243747

David Haziza, Sixia Chen

Publication date: 19 November 2019

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202017.0126

zbMATH Keywords

missing datamultiple imputationvariance estimationdouble robustnessmultiple robustness

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Missing data (62D10)

Related Items (5)

General purpose multiply robust data integration procedures for handling nonprobability samples ⋮ Calibrated regression estimation using empirical likelihood under data fusion ⋮ Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference ⋮ A semiparametric multiply robust multiple imputation method for causal inference ⋮ Handling high-dimensional data with missing values by modern machine learning techniques

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