What question did this study set out to answer?

This research aims to improve the estimation of false discovery rates in multiple-hypothesis testing.

A Direct Approach to False Discovery Rates

View Full Paper

Ask AI

Bookmark

This research aims to improve the estimation of false discovery rates in multiple-hypothesis testing.
Proposes fixing the rejection region and estimating the corresponding error rate.
Applies methodology to both positive false discovery rate (pFDR) and standard FDR.
Includes numerical examples demonstrating the method's advantages.
New approach can increase power by over eight times compared to the Benjamini–Hochberg FDR method.
Evidence suggests pFDR is more relevant than traditional FDR.
Calculates q-value without setting an error rate beforehand.

No takes yet. Share an insight, caveat, or question.

Randomized trial assesses a new method for estimating false discovery rates, suggesting improved accuracy and power.

John D. Storey (2002) studied this question.

View Full Paper

Ask AI

Bookmark