Accounting for Delayed Entry in Analyses of Overall Survival in Clinico-Genomic Databases

BACKGROUND: Clinico-genomic databases favor inclusion of long-term survivors, leading to potentially biased overall survival (OS) analyses. Risk set adjustments relying on the independent delayed entry assumption may mitigate this bias. We aimed to determine whether this assumption is satisfied in a...

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Detalles Bibliográficos
Autores principales: Backenroth, Daniel, Snider, Jeremy, Shen, Ronglai, Seshan, Venkatraman, Castellanos, Emily, McCusker, Margaret, Feuchtbaum, Dana, Gönen, Mithat, Sarkar, Somnath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377725/
https://www.ncbi.nlm.nih.gov/pubmed/35027431
http://dx.doi.org/10.1158/1055-9965.EPI-21-0876

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377725/
https://www.ncbi.nlm.nih.gov/pubmed/35027431
http://dx.doi.org/10.1158/1055-9965.EPI-21-0876

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