Variable selection for recurrent event data with broken adaptive ridge regression

DOI10.1002/CJS.11459zbMath1492.62162OpenAlexW2887260238WikidataQ100395670 ScholiaQ100395670MaRDI QIDQ4960926

Gang Li, Jianguo Sun, Dayu Sun, Hui Zhao

Publication date: 24 April 2020

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523880

zbMATH Keywords

variable selectionrecurrent event dataadditive rate modelevent history study

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62N99)

Related Items (4)

Scalable Algorithms for Large Competing Risks Data ⋮ Variable selection in joint frailty models of recurrent and terminal events ⋮ Unnamed Item ⋮ Group variable selection in the Andersen-Gill model for recurrent event data

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