Analytic P-value calculation for the higher criticism test in finite d problems.
Analytic P-value calculation for the higher criticism test in finite d problems.
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作者：
Barnett IJ;Lin X
较高的批评可有效检验稀疏替代方案的关节零假设，例如测试由D遗传标记组成的基因或遗传途径的作用。基于渐近分布的较高批评的准确p值计算需要非常大的D，而对于基因或途径中的遗传变异的数量并非如此。在本文中，我们提出了一种分析方法，该方法可以准确地计算有限D问题的较高批评测试的P值。与以前的治疗不同，此方法不依赖于D或模拟中的渐近学，并且在正态分布测试统计量时是任意d的。当D不大时，该方法在计算上特别有利。我们通过对肺癌的病例对照基因组的关联研究来说明提出的方法，并通过模拟将其功率与竞争方法进行比较。
The higher criticism is effective for testing a joint null hypothesis against a sparse alternative, e.g., for testing the effect of a gene or a genetic pathway that consists of d genetic markers. Accurate p-value calculations for the higher criticism based on the asymptotic distribution require a very large d, which is not the case for the number of genetic variants in a gene or a pathway. In this paper we propose an analytic method that accurately computes the p-value of the higher criticism test for finite d problems. Unlike previous treatments, this method does not rely on asymptotics in d or simulation, and is exact for arbitrary d when the test statistics are normally distributed. The method is particularly computationally advantageous when d is not large. We illustrate the proposed method with a case-control genome-wide association study of lung cancer and compare its power to competing methods through simulations.
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影响因子：
4.5
作者：
Arias-Castro, Ery;Candes, Emmanuel J.;Plan, Yaniv
通讯作者：
Plan, Yaniv
影响因子：
7
作者：
Wang, Chun-I;Chien, Kun-Yi;Yu, Chia-Jung
通讯作者：
Yu, Chia-Jung
DOI：
10.1093/jnci/djn363
发表时间：
2008-11-05
期刊：
Journal of the National Cancer Institute
影响因子：
--
作者：
Spitz, Margaret R;Amos, Christopher I;Wu, Xifeng
通讯作者：
Wu, Xifeng
影响因子：
4.7
作者：
Zienolddiny, Shanbeh;Skaug, Vidar;Haugen, Aage
通讯作者：
Haugen, Aage
影响因子：
4.5
作者：
Donoho, D;Jin, JS
通讯作者：
Jin, JS