Combining statistical matching and propensity score adjustment for inference from non-probability surveys
type: Item
instance of: scholarly article
title: Combining statistical matching and propensity score adjustment for inference from non-probability surveys
zbMATH Open document ID: 1503.62012
author: Luis Castro-Martín
author: Ramón Ferri-García
author: M. Rueda
published in: Journal of Computational and Applied Mathematics
publication date: 2021-12-14T00:00:00Z
full work available at URL: http://hdl.handle.net/10481/68511
Mathematics Subject Classification ID: 62D05
zbMATH DE Number: 7444617
zbMATH Keywords: nonprobability surveys
zbMATH Keywords: machine learning techniques
zbMATH Keywords: propensity score adjustment
zbMATH Keywords: survey sampling
MaRDI profile type: Publication
OpenAlex ID: W3122989580
cites work: Inference for nonprobability samples
cites work: The central role of the propensity score in observational studies for causal effects
cites work: Efficiency of propensity score adjustment and calibration on the estimation from non-probabilistic online surveys
cites work: Q3314768
cites work: The Shrinkage of Point Scoring Methods
cites work: Model assisted survey sampling.
DOI: 10.1016/J.CAM.2021.113414
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description: scientific article; zbMATH DE number 7444617