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Double inverse-weighted estimation of cumulative treatment effects under non-proportional hazards and dependent censoring

In medical studies of time to event data, non-proportional hazards and dependent censoring are very common issues when estimating the treatment effect. A traditional method for dealing with time-dependent treatment effects is to model the time-dependence parametrically. Limitations of this approach...

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Détails bibliographiques
Auteurs principaux: Schaubel, Douglas E., Wei, Guanghui
Format: Artigo
Langue:Inglês
Publié: 2011
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3372067/
https://ncbi.nlm.nih.gov/pubmed/20560935
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2010.01449.x
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