Sparse estimation of Cox proportional hazards models via approximated information criteria

DOI10.1111/BIOM.12484zbMath1390.62121OpenAlexW2264742324WikidataQ42004370 ScholiaQ42004370MaRDI QIDQ154277

Chalani S. Wijayasinghe, Ying Zhang, Xiaogang Su, Juanjuan Fan, Chalani S. Wijayasinghe, Juanjuan Fan, Ying Zhang, Xiaogang Su

Publication date: 12 February 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4982849

zbMATH Keywords

regularizationvariable selectionAICBICsparse estimationCox proportional hazards model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Reliability and life testing (62N05)

Related Items (5)

Spike-and-slab type variable selection in the Cox proportional hazards model for high-dimensional features ⋮ Variable selection in joint frailty models of recurrent and terminal events ⋮ Simultaneous variable selection in regression analysis of multivariate interval‐censored data ⋮ coxphMIC ⋮ Statistical analysis of zero-inflated nonnegative continuous data: a review

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