Assessing the ability of an instrumental variable causal forest algorithm to personalize treatment evidence using observational data: the case of early surgery for shoulder fracture

BACKGROUND: Comparative effectiveness research (CER) using observational databases has been suggested to obtain personalized evidence of treatment effectiveness. Inferential difficulties remain using traditional CER approaches especially related to designating patients to reference classes a priori....

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Detalles Bibliográficos
Autores principales: Brooks, John M., Chapman, Cole G., Floyd, Sarah B., Chen, Brian K., Thigpen, Charles A., Kissenberth, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275148/
https://www.ncbi.nlm.nih.gov/pubmed/35818028
http://dx.doi.org/10.1186/s12874-022-01663-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275148/
https://www.ncbi.nlm.nih.gov/pubmed/35818028
http://dx.doi.org/10.1186/s12874-022-01663-0

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