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Covariate selection for the semiparametric additive risk model
Torben Martinussen,
Thomas Scheike
Department of Public Health
29
Citations (Scopus)
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Dive into the research topics of 'Covariate selection for the semiparametric additive risk model'. Together they form a unique fingerprint.
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Mathematics
Additive Risk Model
100%
Adaptive Lasso
52%
Covariates
51%
Additive Hazards Model
18%
Observation
16%
Oracle Property
15%
Gene Expression
15%
Breast Cancer
15%
Selector
15%
Proportional Hazards Model
14%
Complications
14%
Lasso
14%
Ridge
14%
Prediction Error
14%
Least Squares
10%
Directly proportional
10%
Likelihood
10%
Methodology
8%
Simulation Study
8%
Model
8%
Estimator
7%
Business & Economics
Risk Model
66%
Covariates
62%
Gene Expression
21%
Proportional Hazards Model
21%
Breast Cancer
20%
Hazard Models
19%
Prediction Error
19%
Least Squares
16%
Simulation Study
14%
Estimator
12%
Methodology
7%