Causal Inference in Outcome-Dependent Two-Phase Sampling Designs

DOI10.1111/J.1467-9868.2009.00712.XzbMath1411.62037OpenAlexW2069547697WikidataQ130525297 ScholiaQ130525297MaRDI QIDQ4632613

Ellen J. MacKenzie, Zhiqiang Tan, Daniel O. Scharfstein, Wei-wei Wang

Publication date: 30 April 2019

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9868.2009.00712.x

zbMATH Keywords

two-phase samplingoutcome-dependent samplingdoubly robust estimator

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (4)

Statistical data integration in survey sampling: a review ⋮ Adjusting for unmeasured confounding in survival causal effect using validation data ⋮ Combining Multiple Observational Data Sources to Estimate Causal Effects ⋮ Unnamed Item

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