The Wild Bootstrap for Multivariate Nelson-Aalen Estimators

基于估计倾向评分的逆治疗概率加权调整Nelson–Aalen估计量

Adjusted Nelson--Aalen estimators by inverse treatment probability weighting with an estimated propensity score

本文在竞争风险框架下研究基于估计倾向评分的逆概率加权调整Nelson–Aalen估计量，推导其影响函数与渐近性质，并证明倾向评分估计带来的额外变异通常较小。

右删失下尾部指数的加权估计：基于 Kaplan-Meier 和 Nelson-Aalen 积分的统一方法

Weighted Estimation of the Tail Index under Right Censorship: A Unified Approach Based on Kaplan-Meier and Nelson-Aalen Integrals

针对右删失 Pareto 型数据尾部指数估计在强删失下失效的问题，提出引入调节参数的加权 Kaplan-Meier 和 Nelson-Aalen 积分估计器，将适用范围扩展至全删失区间，证明了渐近性质并在模拟与真实数据中验证了优越性。

基于接触间隔的流行病数据非参数生存分析

Nonparametric survival analysis of epidemic data

本文提出基于接触间隔的流行病数据非参数生存分析方法，利用Nelson-Aalen估计量及EM算法处理传播网络观测不确定性，并证明其可扩展链二项模型至连续时间。

Estimating state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring

The Aalen-Johansen estimator generalizes the Kaplan-Meier estimator for independently left-truncated and right-censored survival data to estimating the transition probability matrix of a time-inhomogeneous Markov model with finite state space. Such multi-state models have a wide range of applications for modelling complex courses of a disease over the course of time, but the Markov assumption may often be in doubt. If censoring is entirely unrelated to the multi-state data, it has been noted that the Aalen-Johansen estimator, standardized by the initial empirical distribution of the multi-stat…