The additive hazards model with high-dimensional regressors

DOI10.1007/s10985-009-9111-yzbMath1282.62183OpenAlexW1964115392WikidataQ45376727 ScholiaQ45376727MaRDI QIDQ841068

Torben Martinussen, Thomas H. Scheike

Publication date: 14 September 2009

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-009-9111-y

zbMATH Keywords

high-dimensional covariatesKrylov sequenceAalen's additive modelpartial least squares regression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Non-Markovian processes: estimation (62M09) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Estimation in survival analysis and censored data (62N02)

Related Items (10)

Bandwidth selection in marker dependent kernel hazard estimation ⋮ Tests for Coefficients in High-dimensional Additive Hazard Models ⋮ The partly parametric and partly nonparametric additive risk model ⋮ A boosting first-hitting-time model for survival analysis in high-dimensional settings ⋮ Data-driven ridge regression for Aalen's additive risk model ⋮ High-dimensional additive hazards models and the lasso ⋮ Assessment of evaluation criteria for survival prediction from genomic data ⋮ Covariate Selection for the Semiparametric Additive Risk Model ⋮ The Dantzig Selector in Cox's Proportional Hazards Model ⋮ Joint feature screening for ultra-high-dimensional sparse additive hazards model by the sparsity-restricted pseudo-score estimator

Uses Software

• timereg

Cites Work

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