RE-EM tree is a tree-based method that combines the regression tree and ...
Time-varying covariates are often available in survival studies and
esti...
Many important modeling tasks in linear regression, including variable
s...
The presence of momentum in sports, where the outcome of a previous even...
We propose two new survival forests for survival data with time-varying
...
Least squares (LS) based subset selection methods are popular in linear
...
Interval-censored data analysis is important in biomedical statistics fo...
Joint modeling of longitudinal and time-to-event data provides insights ...
The Lasso is a computationally efficient regression regularization proce...
It has been shown that AIC-type criteria are asymptotically efficient
se...