A two-step semiparametric method to accommodate sampling weights in multiple imputation

DOI10.1111/biom.12413zbMath1393.62117OpenAlexW2149007836WikidataQ40515421 ScholiaQ40515421MaRDI QIDQ2805213

Unnamed Author, Hanzhi Zhou, Michael R. Elliott

Publication date: 10 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6058975

zbMATH Keywords

missing datamultiple imputationsampling designBayesian bootstrapPolya posteriorbehavioral risk factor surveillance system (BRFSS)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Related Items (1)

Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata

Uses Software

• MICE

Cites Work

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• Multivariate Correlation Models with Mixed Discrete and Continuous Variables
• To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
• Multiple Imputation of Missing Income Data in the National Health Interview Survey

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