Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models.
Shaima BelhechmiRiccardo De BinFederico RotoloStefan MichielsPublished in: BMC Bioinform. (2020)
Keyphrases
- regression model
- predictor variables
- high dimensional
- generalized linear models
- model selection
- variable selection
- logistic regression models
- response variable
- regression analysis
- survival analysis
- regression methods
- gaussian process
- dimensionality reduction
- low dimensional
- prediction model
- linear model
- least squares
- explanatory variables
- feature space
- regression trees
- dimension reduction
- high dimensional data
- maximum likelihood
- cross validation
- loss function
- data points
- data mining
- independent variables
- machine learning
- neural network
- regression method
- sample size