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Generalized Linear Models for Flexible Parametric Modeling of the Hazard Function

Background. Parametric modeling of survival data is important, and reimbursement decisions may depend on the selected distribution. Accurate predictions require sufficiently flexible models to describe adequately the temporal evolution of the hazard function. A rich class of models is available amon...

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Detalles Bibliográficos
Publicado en:Med Decis Making
Main Authors: Kearns, Benjamin, Stevenson, Matt D., Triantafyllopoulos, Kostas, Manca, Andrea
Formato: Artigo
Idioma:Inglês
Publicado: SAGE Publications 2019
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6843612/
https://ncbi.nlm.nih.gov/pubmed/31556792
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0272989X19873661
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