Individual treatment effect estimation in the presence of unobserved confounding using proxies: a cohort study in stage III non-small cell lung cancer

Randomized Controlled Trials (RCT) are the gold standard for estimating treatment effects but some important situations in cancer care require treatment effect estimates from observational data. We developed “Proxy based individual treatment effect modeling in cancer” (PROTECT) to estimate treatment...

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Detalles Bibliográficos
Autores principales: van Amsterdam, Wouter A. C., Verhoeff, Joost. J. C., Harlianto, Netanja I., Bartholomeus, Gijs A., Puli, Aahlad Manas, de Jong, Pim A., Leiner, Tim, van Lindert, Anne S. R., Eijkemans, Marinus J. C., Ranganath, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989977/
https://www.ncbi.nlm.nih.gov/pubmed/35393451
http://dx.doi.org/10.1038/s41598-022-09775-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989977/
https://www.ncbi.nlm.nih.gov/pubmed/35393451
http://dx.doi.org/10.1038/s41598-022-09775-9

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