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Estimating the proportion of true null hypotheses, with application to DNA microarray data

机译:估计真实零假设的比例,并将其应用于DNA微阵列数据

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摘要

We consider the problem of estimating the proportion of true null hypotheses, "π" 0, in a multiple-hypothesis set-up. The tests are based on observed "p"-values. We first review published estimators based on the estimator that was suggested by Schweder and Spjøtvoll. Then we derive new estimators based on nonparametric maximum likelihood estimation of the "p"-value density, restricting to decreasing and convex decreasing densities. The estimators of "π" 0 are all derived under the assumption of independent test statistics. Their performance under dependence is investigated in a simulation study. We find that the estimators are relatively robust with respect to the assumption of independence and work well also for test statistics with moderate dependence. Copyright 2005 Royal Statistical Society.
机译:我们考虑在多重假设设置中估计真实零假设“π” 0的比例的问题。该测试基于观察到的“ p”值。我们首先根据Schweder和Spjøtvoll提出的估计量,回顾已发表的估计量。然后,我们基于“ p”值密度的非参数最大似然估计来推导新的估计量,并将其限制在递减密度和凸递减密度上。 “π” 0的估计量都是在独立测试统计量的假设下得出的。在模拟研究中研究了它们在依赖性下的性能。我们发现,在独立性假设方面,估计量相对较稳健,并且对于具有中等依赖性的检验统计量也适用。版权所有2005皇家统计学会。

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