General purpose multiply robust data integration procedures for handling nonprobability samples

DOI10.1111/SJOS.12605MaRDI QIDQ6049756

David Haziza, Sixia Chen

Publication date: 11 October 2023

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

zbMATH Keywords

data integrationestimating equationsvariance estimationfractional imputationpropensity score estimationparticipation modeloutcome regression model

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Oracle, multiple robust and multipurpose calibration in a missing response problem
• Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
• Model assisted survey sampling
• Model-assisted survey estimation with modern prediction techniques
• Inference for nonprobability samples
• Combining survey data with other data sources
• On making valid inferences by integrating data from surveys and other sources
• A further study of the multiply robust estimator in missing data analysis
• Approximation Theorems of Mathematical Statistics
• Inference and missing data
• Ensemble Approaches to Estimating the Population Mean with Missing Response
• Multiply Robust Estimation in Regression Analysis With Missing Data
• Doubly Robust Inference With Nonprobability Survey Samples
• A General Framework for Quantile Estimation with Incomplete Data
• Multiply robust nonparametric multiple imputation for the treatment of missing data
• OUP accepted manuscript
• Estimation with missing data: beyond double robustness
• Semiparametric fractional imputation using empirical likelihood in survey sampling

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