Semiparametric Additive Hazards Model with Doubly Truncated Data  

作　　者：Yijin Zhang Liuquan Sun 

机构地区：[1]Institute of Applied Mathematics,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,P.R.China [2]University of Chinese Academy of Sciences,Beijing 100049,P.R.China

出　　处：《Acta Mathematica Sinica,English Series》2025年第2期619-639,共21页数学学报(英文版)

基　　金：Supported by the National Natural Science Foundation of China(Grant No.12171463)。

摘　　要：Doubly truncated data arise when the survival times of interest are observed only if they fall within certain random intervals.In this paper,we consider a semiparametric additive hazards model with doubly truncated data,and propose a weighted estimating equation approach to estimate the regression coefficients,where the weights are estimated both parametrically and nonparametrically.The asymptotic properties of the resulting estimators are established.Simulation studies demonstrate that the proposed estimators perform well in a finite sample.An application to Parkinson's disease data is provided.

关 键 词：Additive hazards model double truncation estimating equations inverse weighting survival analysis 

分 类 号：O17[理学—数学]