Adaptive Lasso for the Cox Regression with Interval Censored and Possibly Left Truncated Data
Plot method for unpencoxIC object
Performing unpenalized nonparametric maximum likelihood estimation for...
Performing variable selection with an adaptive lasso penalty for inter...
Internal functions for the ALassoSurvIC package
Variable selection procedure with the adaptive lasso for interval cens...
Obtaining the nonparametric maximum likelihood estimate (NPMLE) for th...
Plot method for alacoxIC object
Penalized variable selection tools for the Cox proportional hazards model with interval censored and possibly left truncated data. It performs variable selection via penalized nonparametric maximum likelihood estimation with an adaptive lasso penalty. The optimal thresholding parameter can be searched by the package based on the profile Bayesian information criterion (BIC). The asymptotic validity of the methodology is established in Li et al. (2019 <doi:10.1177/0962280219856238>). The unpenalized nonparametric maximum likelihood estimation for interval censored and possibly left truncated data is also available.