Censored Observations, Repeated Measures and Mixed Effects Models: An Approach Using the EM Algorithm and Normal Errors
删失观测、重复测量与混合效应模型：正态误差下的 EM 方法
Maximum likelihood estimation of a vector regression parameter and variance com ponents is considered for the mixed effects model when observations are right censored. A general scheme of estimation is given using the EM algorithm and detailed results found for the model with between and within block variation. This model is applied to the logarithms of survival times from a repeated measures design.