Penalized Estimators in Cox Regression Model
نویسندگان
چکیده مقاله:
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.
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عنوان ژورنال
دوره 25 شماره 1
صفحات 53- 67
تاریخ انتشار 2021-01
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