Testing of risk difference under inverse sampling
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 typeI error and large power.
Inverse Sampling Risk Difference Statistic
JIANG Shaoping LI Baodong
School of mathematics & computer science of Yunnan Nationalities University, School of statistics of Department of Statistics, Henan University of Finance an Economics, P, R.China, 450002
国际会议
2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)
青岛
英文
1-4
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）