Selection of effects in Cox frailty models by regularization methods

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Selection of effects in Cox frailty models by regularization methods.

In all sorts of regression problems, it has become more and more important to deal with high-dimensional data with lots of potentially influential covariates. A possible solution is to apply estimation methods that aim at the detection of the relevant effect structure by using penalization methods. In this article, the effect structure in the Cox frailty model, which is the most widely used mod...

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ژورنال

عنوان ژورنال: Biometrics

سال: 2017

ISSN: 0006-341X

DOI: 10.1111/biom.12637