False Discovery Rate Regression: An Application to Neural Synchrony Detection in Primary Visual Cortex
错误发现率回归及初级视觉皮层神经同步检测应用
Many approaches for multiple testing begin with the assumption that all tests in a given study should be combined into a global false-discovery-rate analysis. But this may be inappropriate for many of today's large-scale screening problems, where auxiliary information about each test is often available, and where a combined analysis can lead to poorly calibrated error rates within different subsets of the experiment. To address this issue, we introduce an approach called…