Accelerated failure-time model with weighted least-squares estimation: application on survival of HIV positives

BACKGROUND: Survival analysis is the most appropriate method of analysis for time-to-event data. The classical accelerated failure-time model is a more powerful and interpretable model than the Cox proportional hazards model, provided that model imposed distribution and homoscedasticity assumptions...

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Detalles Bibliográficos
Autores principales: Mustefa, Yesuf Abdela, Chen, Ding-Geng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165794/
https://www.ncbi.nlm.nih.gov/pubmed/34059125
http://dx.doi.org/10.1186/s13690-021-00617-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165794/
https://www.ncbi.nlm.nih.gov/pubmed/34059125
http://dx.doi.org/10.1186/s13690-021-00617-0

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