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Survival Analysis of Colon Cancer Data using Quantile Regression

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Quantile regression emerged as an alternative and robust technique to the commonly used regression models. Even in the survival analysis, quantile regression is offering more flexible modelling of survival data… Click to show full abstract

Quantile regression emerged as an alternative and robust technique to the commonly used regression models. Even in the survival analysis, quantile regression is offering more flexible modelling of survival data without any constraints attached. Unlike traditional Cox hazards models or accelerated failure models, quantile regression does not restrict the variation of the coefficients for different quantiles. In this research we modelled and compared traditional survival regression method with quantile regression applied to colon cancer data.

Keywords: survival analysis; regression; colon cancer; quantile regression; cancer data

Journal Title: Research Journal of Pharmacy and Technology
Year Published: 2023

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