Directional penalties for optimal matching in observational studies

DOI10.1111/BIOM.13098zbMath1448.62080OpenAlexW2948009038WikidataQ92395109 ScholiaQ92395109MaRDI QIDQ5121058

Ruoqi Yu, Paul R. Rosenbaum

Publication date: 16 September 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.13098

zbMATH Keywords

Lagrangian relaxationpropensity scoreobservational studyfine balancemultivariate matching

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Causal inference from observational studies (62D20)

Related Items (9)

Graded Matching for Large Observational Studies ⋮ Matching One Sample According to Two Criteria in Observational Studies ⋮ Evaluating and improving a matched comparison of antidepressants and bone density ⋮ How Well Can Fine Balance Work for Covariate Balancing ⋮ The risk of maternal complications after Cesarean delivery: near-far matching for instrumental variables study designs with large observational datasets ⋮ Analyzing propensity matched zero-inflated count outcomes in observational studies ⋮ Comment: Matching methods for observational studies derived from large administrative databases ⋮ Rejoinder: Matching methods for observational studies derived from large administrative databases ⋮ DiPs

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