Statistical Criteria for Selecting the Optimal Number of Untreated Subjects Matched to Each Treated Subject When Using Many-to-One Matching on the Propensity Score

Propensity-score matching is increasingly being used to estimate the effects of treatments using observational data. In many-to-one (M:1) matching on the propensity score, M untreated subjects are matched to each treated subject using the propensity score. The authors used Monte Carlo simulations to...

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Detalles Bibliográficos
Autor principal: Austin, Peter C.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Practice of Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2962254/
https://www.ncbi.nlm.nih.gov/pubmed/20802241
http://dx.doi.org/10.1093/aje/kwq224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2962254/
https://www.ncbi.nlm.nih.gov/pubmed/20802241
http://dx.doi.org/10.1093/aje/kwq224

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