A conservative test for multiple comparison based on highly correlated test statistics

Yoshiyuki Ninomiya, Hironori Fujisawa

研究成果: Contribution to journalArticle査読

4 被引用数 (Scopus)

抄録

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.

本文言語英語
ページ(範囲)1135-1142
ページ数8
ジャーナルBiometrics
63
4
DOI
出版ステータス出版済み - 12 1 2007

All Science Journal Classification (ASJC) codes

  • 統計学および確率
  • 生化学、遺伝学、分子生物学(全般)
  • 免疫学および微生物学(全般)
  • 農業および生物科学(全般)
  • 応用数学

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