Enhancing estimation methods for integrating probability and nonprobability survey samples with machine-learning techniques. An application to a survey on the impact of the COVID-19 pandemic in Spain

DOI10.1002/bimj.202200035zbMATH Open1539.6233MaRDI QIDQ6550310

Beatriz Cobo Rodríguez, Ramón Ferri-García, Maria del Mar Rueda García, Luis Castro-Martín, Sara Pasadas-del-Amo

Publication date: 5 June 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

survey samplingCOVID-19nonprobability surveyspropensity score adjustmentmachine-learning techniques

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Greedy function approximation: A gradient boosting machine.
• Calibration estimation in dual-frame surveys
• Statistical data integration in survey sampling: a review
• Evaluation of some approximate variance estimators under the Rao-Sampford unequal probability sampling design
• Inference for nonprobability samples
• On making valid inferences by integrating data from surveys and other sources
• Combining statistical matching and propensity score adjustment for inference from non-probability surveys
• Deville and Särndal's calibration: revisiting a 25-years-old successful optimization problem
• Small Area Estimation
• Efficient Estimators With Simple Variance in Unequal Probability Sampling
• Survey Design Under the Regression Superpopulation Model
• Doubly Robust Inference With Nonprobability Survey Samples
• Estimation in Surveys with Nonresponse
• Introduction to variance estimation
• Comparing Inference Methods for Non‐probability Samples
• Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference
• Sampling Techniques for Big Data Analysis
• Selection bias in web surveys

Related Items (2)

Integrating probability and big non-probability samples data to produce official statistics ⋮ Kernel weighting for blending probability and non-probability survey samples

This page was built for publication: Enhancing estimation methods for integrating probability and nonprobability survey samples with machine-learning techniques. An application to a survey on the impact of the COVID-19 pandemic in Spain