Efficient Computation of Subset Selection Probabilities with Application to Cox Regression
提出一种高效计算方法，用于计算从具有不同选择概率的总体中选出指定大小子集的概率，并应用于Cox比例风险模型的精确边际似然计算。
An efficient method is presented to compute the probability of selection of a specified subset from the set of all subsets of a fixed size where the subsets are taken from a population whose units have varying individual probabilities of selection. The problem is motivated by the computation of the exact marginal likelihood for the Cox proportional hazards model.