Confidence intervals for the ratio of two Poisson rates under one-way differential misclassification using double sampling

Confidence intervals for the ratio of two Poisson rates under one-way differential misclassification using double sampling
复制标题

DOI：
10.1016/j.csda.2015.09.013
复制
发表时间：
2016-03
期刊：
Comput. Stat. Data Anal.
影响因子：
--
通讯作者：
D. Kahle;Phil D. Young;B. Greer;D. Young
D. Kahle;Phil D. Young;B. Greer;D. Young
中科院分区：
其他
文献类型：
--
作者：
D. Kahle;Phil D. Young;B. Greer;D. Young

文献摘要

被引文献

相似文献

瓦尔德、轮廓似然和边际似然置信区间是在使用双重抽样的单向差异误分类数据存在的情况下，为两个泊松率的比率导出的。蒙特卡罗模拟证明了区间的可靠性和相对性能，并以癌症流行病学为例说明了它们在实际场景中的应用和解释。所有描述的方法都在R包中实现了，并且可以在综合R档案网络（CRAN）中免费获得。
Wald, profile likelihood, and marginal likelihood confidence intervals are derived for the ratio of two Poisson rates in the presence of one-way differentially misclassified data using double sampling. Monte Carlo simulations demonstrate the reliability and relative performance of the intervals, and an example from cancer epidemiology illustrates their application and interpretation in a real-world scenario. All of the methods described are implemented and freely available in the R packagepoisDoubleSampon the Comprehensive R Archive Network (CRAN).