Machine learning for propensity score estimation: A systematic review and reporting guidelines

Machine learning (ML) has become a common approach for estimating propensity scores (PSs) for quasi-experimental research using matching, weighting, or stratification on the PS. This systematic review examined 179 applications of ML for PS estimation across different fields, such as health, educatio...

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Vydané v:	Psychological methods
Hlavní autori:	Leite, Walter, Zhang, Huibin, Collier, Zachary, Chawla, Kamal, Kong, Lingchen, Lee, YongSeok, Quan, Jia, Soyoye, Olushola
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 16.10.2025
ISSN:	1939-1463, 1939-1463
On-line prístup:	Zistit podrobnosti o prístupe
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