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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| 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 |