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Li Qizhai1; Liu Aiyi2; Zheng Gang3; Li Zhaohai4; Yu Kai4
Source Publicationsciencechinamathematics
AbstractEfron (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
Document Type期刊论文
2.Biostatistics and Bioinformatics Branch, National Institute of Child Health and Human Development
3.Office of Biostatistics Research, National Heart, Lung and Blood Institute
4.Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute
Recommended Citation
GB/T 7714
Li Qizhai,Liu Aiyi,Zheng Gang,et al. approximatingprobabilitiesofcorrelatedevents[J]. sciencechinamathematics,2010,53(11):2937.
APA Li Qizhai,Liu Aiyi,Zheng Gang,Li Zhaohai,&Yu Kai.(2010).approximatingprobabilitiesofcorrelatedevents.sciencechinamathematics,53(11),2937.
MLA Li Qizhai,et al."approximatingprobabilitiesofcorrelatedevents".sciencechinamathematics 53.11(2010):2937.
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