67409 Quantifying Unmeasured Confounding in Relationship between Treatment Intensity and Outcomes among Older Patients with Hodgkin Lymphoma (HL) using Surveillance, Epidemiology and End Results (SEER)-Medicare Data

ABSTRACT IMPACT: E-values can help quantify the amount of unmeasured confounded necessary to fully explain away a relationship between treatment and outcomes in observational data. OBJECTIVES/GOALS: Older patients with HL have worse outcomes than younger patients, which may reflect treatment choice...

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Detalles Bibliográficos
Autores principales: Rodday, Angie Mae, Hahn, Theresa, Lindenauer, Peter K., Parsons, Susan K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Data Science/Biostatistics/Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827716/
http://dx.doi.org/10.1017/cts.2021.531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827716/
http://dx.doi.org/10.1017/cts.2021.531

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