Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank.

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第一作者： Ruilin,Li

第一单位： Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA.

作者： Ruilin,Li ^[1] ; Christopher,Chang ^[2] ; Johanne M,Justesen ^[3] ; Yosuke,Tanigawa ^[3] ; Junyang,Qian ^[3] ; Trevor,Hastie ^[3] ; Manuel A,Rivas ^[3] ; Robert,Tibshirani ^[3]

作者单位： Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA. ^[1] Grail, Inc., Menlo Park 94025, USA. ^[2] Department of Statistics and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA. ^[3]

关键词 Concordance index Cox proportional hazard model LASSO Time-to-event data UK Biobank

主题词算法(Algorithms);生物标本库(Biological Specimen Banks);人类(Humans);似然函数(Likelihood Functions);比例危险度模型(Proportional Hazards Models)

DOI 10.1093/biostatistics/kxaa038

PMID 32989444

发布时间 2022-06-05

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