… To explore the nonlinear interactions between some covariates and an exposure variable,
we propose the partially linear additive hazards model for survival data. In a semiparametric …

… effective algorithms in the partly linear additive hazards regression model with current
status … baseline hazard function with monotonicity constraint and nonparametric regression …

… -defined estimation method for partially linear additive hazards model to analyze clustered
failure time data. B-splines are used to approximate the unknown regression function, which …

… In this article, we consider an additive hazards semiparametric model for left-truncated and
… the risk function has a partly linear structure, we call it the partly linear additive hazards model…

… In this article, we propose a hierarchical bi-level variable selection approach for censored
survival data in the linear part of a partially linear additive hazards model where the covariates …

… In the following, we discuss the regression analysis of bivariate cases by employing the … a
kind of semiparametric partly linear additive hazards model. Partly linear models are becoming …

… of partially linear hazard regression models for multivariate survival data. A profile pseudo–partial
likelihood estimation method is proposed under the marginal hazard model framework…

… can be developed for partially linear additive models with error-prone linear covariates. The
approach is possibly extended to generalized additive partial linear models and the situation …

… hazards model, additive hazards model assumes an additive relationship between covariates
and hazard … The additive hazards model has sound biological and empirical bases, …

… We propose a global kernel estimator for the (partially linear) varying coefficient additive
hazards model. Instead of separately estimating the varying coefficient function at any given …