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Tuning Parameter Selection in Cox Proportional Hazards Model with a Diverging Number of Parameters

Regularized variable selection is a powerful tool for identifying the true regression model from a large number of candidates by applying penalties to the objective functions. The penalty functions typically involve a tuning parameter that control the complexity of the selected model. The ability of...

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Bibliografiset tiedot
Julkaisussa:Scand Stat Theory Appl
Päätekijät: Ni, Ai, Cai, Jianwen
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2018
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6107315/
https://ncbi.nlm.nih.gov/pubmed/30147217
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/sjos.12313
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