摘要：Analysis of left-truncated and right-censored (LTRC) survival data has received extensive interest. Many inference methods have been developed for the various survival models, including the Cox proportional hazards model and the transformation model. The additive hazards model is also concerned in survival analysis, and several methods have also been developed without left-truncation. However, little work has been available in the literature for the additive hazards model with left-truncation and right-censoring. In this paper, we explore this important problem under the additive hazards model. We develop the pseudo-likelihood inference for the estimation of the survival model parameters, which yields a more efficient estimator. Besides, we assess the performance of our proposed methods using simulation studies. Through the conducted simulations, the proposed estimator is further found to outperform the existing competitors in the literature..
