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Penalized Estimation for Varying Coefficient Additive Hazards Models
Hoi Min Ng
,
Kin Yau Wong
Department of Applied Mathematics
The Hong Kong Polytechnic University
Research output
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Journal article publication
›
Journal article
›
Academic research
›
peer-review
Overview
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Keyphrases
Varying Coefficient
100%
Penalized Estimation
100%
Additive Hazards Model
100%
Estimation Method
50%
Genomic Studies
50%
Performance Prediction
25%
Regression Model
25%
Computational Complexity
25%
Simulation Study
25%
Interaction Effect
25%
Covariate Effect
25%
Kernel Methods
25%
Local Neighborhood
25%
Global Approach
25%
Coefficient Function
25%
Varying Coefficient Model
25%
Cancer Genomics
25%
Group Lasso Penalty
25%
Kernel Smoothing
25%
Smoothing Method
25%
Interpretable Results
25%
Major Cancers
25%
Computer Science
Estimation Method
100%
Covariate Effect
50%
Kernel Method
50%
Smoothing Kernel
50%
Computational Complexity
50%
Predictive Performance
50%
Simulation Study
50%
Local Neighborhood
50%
Interaction Effect
50%
Mathematics
Covariate
100%
Estimation Method
66%
Coefficient Function
33%
Kernel Method
33%
Predictive Performance
33%
Simulation Study
33%
Regression Model
33%
Interaction Effect
33%
Smoothing Kernel
33%
Least Absolute Shrinkage and Selection Operator
33%