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
Autores principales: Kearns, Benjamin, Stevenson, Matt D., Triantafyllopoulos, Kostas, Manca, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843612/
https://www.ncbi.nlm.nih.gov/pubmed/31556792
http://dx.doi.org/10.1177/0272989X19873661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843612/
https://www.ncbi.nlm.nih.gov/pubmed/31556792
http://dx.doi.org/10.1177/0272989X19873661

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