| 14 | Approximating probabilities of correlated events显示文摘Efron (1997) considered several approximations of p-values for simultaneous hypothesis testing. An extension of his approaches is considered here to approximate various probabilities of correlated events. Compared with multiple-integrations, our proposed method, the parallelogram formulas, based on a one-dimensional integral, not only substantially reduces the computational complexity but also maintains good accuracy. Applications of the proposed method to genetic association studies and group sequential analysis are investigated in detail. Numerical results including real data analysis and simulation studies demonstrate that the proposed method performs well. | LI QiZhai1,2, ZHENG Gang3, LIU AiYi4, LI ZhaoHai2,5 & YU Kai2 1Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China 2Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA 3Office of Biostatistics Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA 4Biostatistics and Bioinformatics Branch, National Institute of Child Health and Human Development, Bethesda, MD 20892, USA 5Department of Statistics, George Washington University, Washington, DC 20052, USA | 2010 | Science China Mathematics2010，53，11： | 1 |
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