Improving Power in One-Sided Multiple Testing

This paper addresses the problem of conservative p-values in one-sided multiple testing, which leads to a loss of power. The authors propose a method to refine p-values by estimating the null distribution, allowing for improved power without modifying existing multiple testing procedures. This is a practical improvement for researchers using standard multiple testing methods.

• •Addresses the issue of conservative p-values in one-sided multiple testing.
• •Proposes a method to refine p-values using an empirical Bayes framework.
• •Improves power without modifying standard multiple testing procedures.
• •Demonstrates improved performance in simulations and real-world data.