A semiparametric approach for the nonparametric transformation survival model with multiple covariates
A semiparametric approach for the nonparametric transformation survival model with multiple covariates
The nonparametric transformation model makes no parametric assumptions on the forms of the transformation function and the error distribution. This model is appealing in its flexibility for modeling censored survival data. Current approaches for estimation of the regression parameters involve maximizing discontinuous objective functions, which are numerically infeasible to implement …