Data-driven simulations to assess the impact of study imperfections in time-to-event analyses

Quantitative bias analysis (QBA) permits assessment of the expected impact of various imperfections of the available data on the results and conclusions of a particular real-world study. This article extends QBA methodology to multivariable time-to-event analyses with right-censored endpoints, possi...

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Publicado en:Am J Epidemiol
Autores principales: Abrahamowicz, Michal, Beauchamp, Marie-Eve, Boulesteix, Anne-Laure, Morris, Tim P, Sauerbrei, Willi, Kaufman, Jay S, STRATOS Simulation Panel, on behalf of the
Formato: Artigo
Lenguaje:Inglês
Publicado: Oxford University Press 2024
Materias:
Practice of Epidemiology
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7617302/
https://ncbi.nlm.nih.gov/pubmed/38717330
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwae058
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