A comparison of machine learning algorithms and covariate balance measures for propensity score matching and weighting

DOI10.1002/BIMJ.201800132zbMath1429.62504OpenAlexW2946722168WikidataQ92029545 ScholiaQ92029545MaRDI QIDQ5208178

Massimo Cannas, Bruno Arpino

Publication date: 15 January 2020

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

Full work available at URL: https://doi.org/10.1002/bimj.201800132

zbMATH Keywords

machine learning algorithmspropensity score methodscovariate balancecaesarean Sectionlabor induction

Mathematics Subject Classification ID

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

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