SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting.
Emily MorrisKevin HeYanming LiYi LiJian KangPublished in: R J. (2020)
Keyphrases
- variable selection
- proportional hazards model
- gradient boosting
- high dimensional
- loss function
- low dimensional
- dimension reduction
- high dimensional data
- cross validation
- high dimensionality
- dimensionality reduction
- nearest neighbor
- feature space
- model selection
- microarray data
- data mining
- data points
- pairwise
- training set
- training data