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Robust estimation for the Cox regression model based on trimming

✍ Scribed by Alessio Farcomeni; Sara Viviani


Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
231 KB
Volume
53
Category
Article
ISSN
0323-3847

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✦ Synopsis


Abstract

We propose a robust Cox regression model with outliers. The model is fit by trimming the smallest contributions to the partial likelihood. To do so, we implement a Metropolis‐type maximization routine, and show its convergence to a global optimum. We discuss global robustness properties of the approach, which is illustrated and compared through simulations. We finally fit the model on an original and on a benchmark data set.


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