Generalized confidence intervals for the mean of medical cost data with zeros

摘要：

In this paper, we consider the interval estimation for the means of medical cost data. Medical cost data may contain zero values, and the nonzero values can often be modeled by a lognormal distribution. Under the model, we proposed three generalized confidence intervals approaches for the mean: a Jeffrey based approach, an Agresti-Coull based approach, and a Wilson based approach. Our simulation studies suggested that the Jeffrey based generalized confidence interval outperformed the other methods and that it has highly accurate coverage probability and fairly low bias, even in small sample settings.

作者: Xinmin Li

作者单位: School of Science,Shandong University of Technology,Zibo,Shandong 255049,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）