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Detecting Important Risk Factors of Survival Time of Lung Cancer Patients Using Censored Quintile Regression
OBJECTIVE: Lung cancer is the most frequently diagnosed cancer and the most leading cause of death due to cancer worldwide. This study aimed to use censored quintile regression model to estimate the effect of potential risk factors on survival of lung cancer patients. METHODS: In this study we used...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
West Asia Organization for Cancer Prevention
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976841/ https://www.ncbi.nlm.nih.gov/pubmed/31554349 http://dx.doi.org/10.31557/APJCP.2019.20.9.2583 |