Maximum likelihood inference for the Cox regression model with applications to missing covariates.
Ming-Hui ChenJoseph G. IbrahimQi-Man ShaoPublished in: J. Multivar. Anal. (2009)
Keyphrases
- regression model
- maximum likelihood
- model selection
- regression analysis
- parameter estimation
- survival analysis
- explanatory variables
- response variable
- regression methods
- bayesian networks
- linear regression model
- generalized linear models
- kernel regression
- prediction model
- hyperparameters
- linear model
- logistic regression models
- expectation maximization
- missing data
- gaussian distribution
- independent variables
- missing values
- multivariate regression
- regression trees
- regression method
- em algorithm
- support vector regression
- interval valued data
- bayesian model
- gaussian process
- bayesian inference
- maximum parsimony