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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...
Autores principales: | Kearns, Benjamin, Stevenson, Matt D., Triantafyllopoulos, Kostas, Manca, Andrea |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
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 |
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