The Quality Preserving Database: A Computational Framework for Encouraging Collaboration, Enhancing Power and Controlling False Discovery-Reference-Cited by-同舟云学术

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The Quality Preserving Database: A Computational Framework for Encouraging Collaboration, Enhancing Power and Controlling False Discovery

Published:2011-09 Issue:5 Volume:8 Page:1431-1437
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Aharoni E.,Neuvirth H.,Rosset S.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx5/8857/5958719/05611486.pdf?arnumber=5611486

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Structure–Adaptive Sequential Testing for Online False Discovery Rate Control;Journal of the American Statistical Association;2021-11-17

2. The reusable holdout: Preserving validity in adaptive data analysis;Science;2015-08-07

3. Preserving Statistical Validity in Adaptive Data Analysis;Proceedings of the forty-seventh annual ACM symposium on Theory of Computing;2015-06-14

4. Novel Statistical Tools for Management of Public Databases Facilitate Community-Wide Replicability and Control of False Discovery;Genetic Epidemiology;2014-04-04

5. Generalizedα-investing: definitions, optimality results and application to public databases;Journal of the Royal Statistical Society: Series B (Statistical Methodology);2013-11-13

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