文献类型：会议论文

英文题名：Testing of Risk Difference under Inverse Sampling

作者：Jiang Shaoping[1];Li Baodong[2]

第一作者：Jiang Shaoping

通讯作者：Jiang, SP[1]

机构：[1]Yunnan Nationalities Univ, Sch Math & Comp Sci, Sch Stat, Kunming 650050, Yunnan, Peoples R China;[2]Henan Univ Finance & Econ, Dept Stat, Zhengzhou 450002, Henan, Peoples R China

第一机构：Yunnan Nationalities Univ, Sch Math & Comp Sci, Sch Stat, Kunming 650050, Yunnan, Peoples R China

通讯机构：[1]corresponding author), Yunnan Nationalities Univ, Sch Math & Comp Sci, Sch Stat, Kunming 650050, Yunnan, Peoples R China.

会议论文集：2nd Conference of the International-Institute-of-Applied-Statistics-Studies

会议日期：JUL 24-29, 2009

会议地点：Qingdao, PEOPLES R CHINA

语种：英文

外文关键词：Inverse Sampling; Risk Difference; Statistic

摘要：The inverse sample is the current hot issues abroad, in the continuous sampling process. Inverse sampling is considered to be a more appropriate sampling scheme than the usual binomial sampling scheme when the subjects arrive sequentially and when the underlying response of interest is acute. In this article, we study various test statistics for testing rate ratio in case-control studies under inverse sampling. We use the way of Fisher-score to get the variance of interest parameter. Then we get the type I error and power by Monte Carlo simulation. In general, Score statistic is the best, which can get the small type I error and large power.