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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....
Autores principales: | Brooks, John M., Chapman, Cole G., Floyd, Sarah B., Chen, Brian K., Thigpen, Charles A., Kissenberth, Michael |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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