Sieve maximum likelihood estimation for the proportional hazards model under informative censoring.
Xuerong ChenTao HuJianguo SunPublished in: Comput. Stat. Data Anal. (2017)
Keyphrases
- maximum likelihood estimation
- survival data
- proportional hazards model
- survival analysis
- clinical data
- em algorithm
- maximum likelihood
- prostate cancer
- neural network
- parameter estimation
- variable selection
- expectation maximization
- breast cancer
- probability distribution
- regression model
- machine learning
- predictive modeling
- decision trees
- neural network model
- data mining methods
- mixture model
- cross validation
- evolutionary computing
- density function
- gaussian mixture model
- logistic regression
- high dimensional data
- data analysis
- data mining