Censored Observations, Repeated Measures and Mixed Effects Models: An Approach Using the EM Algorithm and Normal Errors
针对右删失观测的混合效应模型，提出使用EM算法估计回归参数和方差分量的通用方案，并应用于重复测量设计的生存时间对数数据。
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.