These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: A conservative test for multiple comparison based on highly correlated test statistics.
    Author: Ninomiya Y, Fujisawa H.
    Journal: Biometrics; 2007 Dec; 63(4):1135-42. PubMed ID: 17501942.
    Abstract:
    In genetics, we often encounter a large number of highly correlated test statistics. The most famous conservative bound for multiple comparison is Bonferroni's bound, which is suitable when the test statistics are independent but not when the test statistics are highly correlated. This article proposes a new conservative bound that is easily calculated without multiple integration and is a good approximation when the test statistics are highly correlated. The performance of the proposed method is evaluated by simulation and real data analysis.
    [Abstract] [Full Text] [Related] [New Search]