Zhao Lili, Shi Jingchunzi, Shearon Tempie H, Li Yi
Department of Biostatistics, University of Michigan, Ann Arbor, MI, U.S.A.
Stat Med. 2015 Apr 15;34(8):1404-16. doi: 10.1002/sim.6438. Epub 2015 Jan 26.
Mortality rates are probably the most important indicator for the performance of kidney transplant centers. Motivated by the national evaluation of mortality rates at kidney transplant centers in the USA, we seek to categorize the transplant centers based on the mortality outcome. We describe a Dirichlet process model and a Dirichlet process mixture model with a half-cauchy prior for the estimation of the risk-adjusted effects of the transplant centers, with strategies for improving the model performance, interpretability, and classification ability. We derive statistical measures and create graphical tools to rate transplant centers and identify outlying groups of centers with exceptionally good or poor performance. The proposed method was evaluated through simulation and then applied to assess kidney transplant centers from a national organ failure registry.
死亡率可能是肾移植中心表现的最重要指标。受美国肾移植中心死亡率全国评估的推动，我们试图根据死亡结果对移植中心进行分类。我们描述了一种狄利克雷过程模型和一种狄利克雷过程混合模型，该模型具有半柯西先验，用于估计移植中心的风险调整效应，并给出了提高模型性能、可解释性和分类能力的策略。我们推导了统计量度并创建了图形工具，以对移植中心进行评级，并识别表现异常出色或不佳的外围中心组。通过模拟对所提出的方法进行了评估，然后将其应用于评估来自国家器官衰竭登记处的肾移植中心。
