Estimating physician costliness. An empirical Bayes approach.
Estimating physician costliness. An empirical Bayes approach.
复制标题
估计医生的费用。
DOI：
10.1097/00005650-199305001-00004
复制
发表时间：
1993
期刊：
影响因子：
3
通讯作者：
McDonald,CJ
中科院分区：
文献类型：
--
作者：
Miller,ME;Hui,SL;Tierney,WM;McDonald,CJ
门诊病人的数据，从一般的医学实践的城市，医疗保健设施提供了一个应用经验贝叶斯技术在估计医生的“昂贵”。结果表明，应用最简单的经验贝叶斯估计程序可以提供更合理的估计医生的资源利用率比标准的估计程序。经验贝叶斯估计调整潜在的不稳定性，可能会出现从一个医生治疗少数患者或不适当的病例组合调整的标准估计。使用模拟，它表明，经验贝叶斯程序可以提供更好的整体估计使用更少的数据比标准程序。这种应用，虽然在范围上有些有限，应该提供动力，增加利用目前存在于统计文献中的众多贝叶斯和经验贝叶斯技术，并涉及小面积估计技术。(Med Care 1993; 31：YS 16-YS 28）
Outpatient data obtained from the general medicine practice of an urban, health care facility are used to provide an application of empirical Bayes techniques in the estimation of physician “costliness.” The results illustrate that application of the simplest empirical Bayes estimation procedure can provide more reasonable estimates of physician's utilization of resources than a standard estimation procedure. Empirical Bayes estimates are shown to adjust for potential instability in standard estimates that may arise from either a physician treating a small number of patients or an inappropriate case-mix adjustment. Using simulation, it is demonstrated that the empirical Bayes procedure can provide overall better estimates using fewer data than the standard procedure. This application, although somewhat limited in scope, should provide impetus for increased utilization of the numerous Bayesian and empirical Bayes techniques that currently exist in the statistical literature and pertain to small area estimation techniques.(Med Care 1993; 31: YS16-YS28)