Penalized Estimators in Cox Regression Model

Author(s):

Zahra Eslami* , Mina Norouzirad , Mohammad Arashi

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The proportional hazard Cox regression models play a key role in analyzing censored survival data. We use penalized methods in high dimensional scenarios to achieve more efficient models. This article reviews the penalized Cox regression for some frequently used penalty functions. Analysis of medical data namely ”mgus2” confirms the penalized Cox regression performs better than the cox regression model. Among all penalty functions, LASSO provides the best fit.

Keywords:

Cox regression , Hazard function , Penalized regression , Lasso , Survival function

Language:
Persian
Published:
Andishe-ye Amari, Volume:25 Issue: 1, 2021
Pages:
53 to 67
https://magiran.com/p2224834  
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