1 / 7

Exact calculations of expected power for the Benjamini-Hochberg procedure

Exact calculations of expected power for the Benjamini-Hochberg procedure. DH Glueck 1 , A Karimpour-Fard 1 , L Hunter 1 , J Mandel 1 and KE Muller 2. 1 University of Colorado Denver and 2 University of Florida. December 1, 2007. Power for multiple comparisons.

queenie
Télécharger la présentation

Exact calculations of expected power for the Benjamini-Hochberg procedure

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Exact calculations of expected power for the Benjamini-Hochberg procedure DH Glueck1, A Karimpour-Fard1, L Hunter1, J Mandel1 and KE Muller2 1University of Colorado Denver and 2University of Florida December 1, 2007

  2. Power for multiple comparisons • Efron, Storey and Tibshirani (2001) JASA • Lee and Whitmore (2002) • Finner & Roters (2002) • Sarkar (2002, 2004, 2006) • Zien, Fluck, Zimmer and Lengauer (2002) • Lehmann &Romano (2005), Romano &Shaikh (2006)

  3. Benjamini and Hochberg procedure

  4. Decisions for an experiment

  5. Expected power Expected power is the average number of null hypotheses we should reject that we do reject.

  6. Exact power Glueck et al., CIS, 2008

  7. Why this method for power? • Exact • Useful for clinical trials and other applications where accuracy is important. • Works for any test statistics or for mixtures of test statistics. • Avoids Type 3 errors- answering wrong question. If you plan to analyze your data using Benjamini and Hochberg, you need to conduct your power analysis by a method that does power for Benjamini and Hochberg

More Related