An empirical approach to model selection through validation for censored survival data.
Ickwon ChoiBrian J. WellsChanghong YuMichael W. KattanPublished in: J. Biomed. Informatics (2011)
Keyphrases
- model selection
- survival data
- survival analysis
- kaplan meier
- clinical data
- cross validation
- regression model
- prostate cancer
- neural network
- sample size
- machine learning
- feature selection
- variable selection
- generalization error
- model selection criteria
- parameter estimation
- mixture model
- neural network model
- high dimensional data
- selection criterion
- marginal likelihood
- bayesian information criterion
- information criterion
- evolutionary algorithm
- feature space
- distribution free
- image analysis
- knowledge discovery
- breast cancer
- logistic regression