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Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification

Imbalances in covariates between treatment groups are frequent in observational studies and can lead to biased comparisons. Various adjustment methods can be employed to correct these biases in the context of multi-level treatments (> 2). Analytical challenges, such as positivity violations and i...

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Detalles Bibliográficos
Autores principales: Diop, S. Arona, Duchesne, Thierry, G. Cumming, Steven, Diop, Awa, Talbot, Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225669/
https://www.ncbi.nlm.nih.gov/pubmed/35757044
http://dx.doi.org/10.1080/02664763.2021.1911966