Combining statistical matching and propensity score adjustment for inference from non-probability surveys

DOI10.1016/j.cam.2021.113414zbMath1503.62012OpenAlexW3122989580MaRDI QIDQ2059608

Luis Castro-Martín, Ramón Ferri-García, Maria del Mar Rueda García

Publication date: 14 December 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10481/68511

zbMATH Keywords

survey samplingmachine learning techniquesnonprobability surveyspropensity score adjustment

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

• Model assisted survey sampling.
• Inference for nonprobability samples
• The central role of the propensity score in observational studies for causal effects
• Efficiency of propensity score adjustment and calibration on the estimation from non-probabilistic online surveys
• The Shrinkage of Point Scoring Methods
• Unnamed Item

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