Penalized variable selection with broken adaptive ridge regression for semi-competing risks data

Fatemeh Mahmoudi; Xuewen Lu

doi:10.1080/10485252.2025.2475778

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Penalized variable selection with broken adaptive ridge regression for semi-competing risks data

Fatemeh Mahmoudi Xuewen Lu

Year: 2025 Journal: Journal of nonparametric statistics Vol: 37 (4)Pages: 1221-1256 Publisher: Taylor & Francis

DOI: 10.1080/10485252.2025.2475778

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Keywords:

Mathematics Feature selection Regression Lasso (programming language) Statistics Variable (mathematics) Selection (genetic algorithm) Ridge Regression analysis Econometrics Elastic net regularization Computer science Artificial intelligence Geography

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Liver Disease Diagnosis and Treatment

Health Sciences → Medicine → Epidemiology

Penalized variable selection with broken adaptive ridge regression for semi-competing risks data

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