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Application of additive hazards models for analyzing survival of breast cancer patients
BACKGROUND: Survival rates for breast cancer (BC) are often based on the outcomes of this disease. The aim of this study was to compare the performance of three survival models, namely Cox regression, Aalen's, and Lin and Ying's additive hazards (AH) models for identifying the prognostic f...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer - Medknow
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698387/ https://www.ncbi.nlm.nih.gov/pubmed/33273944 http://dx.doi.org/10.4103/jrms.JRMS_701_19 |