A NEW MULTILEVEL MODELING APPROACH FOR CLUSTERED SURVIVAL DATA
聚类生存数据的一种新多层建模方法
In multilevel modeling of clustered survival data, to account for the differences among different clusters, a commonly used approach is to introduce cluster effects, either random or fixed, into the model. Modeling with random effects may lead to difficulties in the implementation of the estimation procedure for the unknown parameters of interest because the numerical computation of multiple integrals may become unavoidable when the cluster effects are not scalars. On the…