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Abstract

Introduction: This paper studies risk factors which can have effects on the survival time of lung cancer patients during the treatment.


Methods: The Cox proportional-hazards model has been applied for investigating the association between the survival time of patients and the predictors such as age, gender, the weight of patients, meal, the ECOG, and Karnofsky scores.


Results: In the study, we find that the ECOG score, the Karnofsky score evaluated by doctors and the gender are the top three factors that significantly affect the hazard rate. Also, we utilize the estimated model to predict survival probability for the patients.


Conclusion: In this article, we intentionally present a complete and detailed guide on how to perform a R-based package in survival analysis step by step as well as how to interpret all output results.


 



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Article Details

Issue: Vol 23 No 3 (2020): Under Publishing
Page No.: 655-664
Published: Sep 2, 2020
Section: Social Sciences and Humanities - Research article
DOI: https://doi.org/10.32508/stdj.v23i3.1794

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Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Nguyen, V.-T., & Ho, T. D.-C. (2020). Risk Factors of Lung Cancer Patients: A Survival Analysis with R. Science and Technology Development Journal, 23(3), 655-664. https://doi.org/https://doi.org/10.32508/stdj.v23i3.1794

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