Random effects modelling versus logistic regression for the inclusion of cluster-level covariates in propensity score estimation: A Monte Carlo simulation and registry cohort analysis

Purpose: Surgeon and hospital-related features, such as volume, can be associated with treatment choices and outcomes. Accounting for these covariates with propensity score (PS) analysis can be challenging due to the clustered nature of the data. We studied six different PS estimation strategies for...

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Detalles Bibliográficos
Autores principales: Du, Mike, Prats-Uribe, Albert, Khalid, Sara, Prieto-Alhambra, Daniel, Strauss, Victoria Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077146/
https://www.ncbi.nlm.nih.gov/pubmed/37033623
http://dx.doi.org/10.3389/fphar.2023.988605

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077146/
https://www.ncbi.nlm.nih.gov/pubmed/37033623
http://dx.doi.org/10.3389/fphar.2023.988605

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