Joint Modelling of Survival and Longitudinal Data with Informative Observation Times
提出一种无需分布假设的估计方法，将生存模型与纵向模型通过随机效应连接，处理信息性观测时间点，估计量一致且渐近正态，计算简便，并用于原发性胆汁性肝硬化研究。
Abstract In this paper, we consider the joint modelling of survival and longitudinal data with informative observation time points. The survival model and the longitudinal model are linked via random effects, for which no distribution assumption is required under our estimation approach. The estimator is shown to be consistent and asymptotically normal. The proposed estimator and its estimated covariance matrix can be easily calculated. Simulation studies and an application to a primary biliary cirrhosis study are also provided.