Skip to main navigation
Skip to search
Skip to main content
University of Copenhagen Research Portal Home
Help & FAQ
Dansk
English
Home
Profiles
Research output
Research units
Press/Media
Activities
Prizes
???studenttheses???
Datasets
Search by expertise, name or affiliation
Covariate selection for the semiparametric additive risk model
Torben Martinussen,
Thomas Scheike
Department of Public Health
29
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Covariate selection for the semiparametric additive risk model'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Adaptive Lasso
52%
Additive Hazards Model
18%
Additive Risk Model
100%
Breast Cancer
15%
Complications
14%
Covariates
51%
Directly proportional
10%
Estimator
7%
Gene Expression
15%
Lasso
14%
Least Squares
10%
Likelihood
10%
Methodology
8%
Model
8%
Observation
16%
Oracle Property
15%
Prediction Error
14%
Proportional Hazards Model
14%
Ridge
14%
Selector
15%
Simulation Study
8%
Business & Economics
Breast Cancer
20%
Covariates
62%
Estimator
12%
Gene Expression
21%
Hazard Models
19%
Least Squares
16%
Methodology
7%
Prediction Error
19%
Proportional Hazards Model
21%
Risk Model
66%
Simulation Study
14%