Deciding on an adjustment for multiplicity in IR experiments-Reference-Cited by-同舟云学术

Deciding on an adjustment for multiplicity in IR experiments

Published:2013-07-28 Issue: Volume: Page:
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Container-title:Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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Author:

Boytsov Leonid¹,Belova Anna²,Westfall Peter³

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. Abt Associates Inc, Bethesda, MD, USA

3. Texas Tech University, Lubbock, TX, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2484028.2484034

Reference38 articles.

1. Anonymous. Guidance for Industry - E9 Statistical Principles for Clinical Trials. Technical report U.S. Department of Health and Human Services - Food and Drug Administration Center for Drug Evaluation and Research Center for Biologics Evaluation and Research ICH 1998. Anonymous. Guidance for Industry - E9 Statistical Principles for Clinical Trials. Technical report U.S. Department of Health and Human Services - Food and Drug Administration Center for Drug Evaluation and Research Center for Biologics Evaluation and Research ICH 1998.

2. Adjusting for multiple testing—when and how?

3. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

4. R. Blanco and H. Zaragoza. Beware of relatively large but meaningless improvements. Technical report YL-2011-001 Yahoo! Research 2011. R. Blanco and H. Zaragoza. Beware of relatively large but meaningless improvements. Technical report YL-2011-001 Yahoo! Research 2011.

5. Bias and the limits of pooling for large collections

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