Multiplicity- and dependency-adjusted -values for control of the family-wise error rate

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• 作者：Jens Stange^a ; ^{jens.stange.85@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Thorsten Dickhaus^b ; ^{dickhaus@uni-bremen.de" class="auth_mail" title="E-mail the corresponding author} ; Arcadi Navarro^c ; ^d ; ^e ; ^{arcadi.navarro@upf.edu" class="auth_mail" title="E-mail the corresponding author} ; Daniel Schunk^f ; ^{daniel.schunk@uni-mainz.de" class="auth_mail" title="E-mail the corresponding author}
• 关键词：62J15 ; 62P10
• 刊名：Statistics & Probability Letters
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：111
• 期：Complete
• 页码：32-40
• 全文大小：391 K

文摘

Under the multiple testing framework, we propose the multiplicity- and dependency-adjustment method (MADAM) which transforms test statistics into adjusted class="mathmlsrc">class="formulatext stixSupport mathImg" data-mathURL="/science?_ob=MathURL&_method=retrieve&_eid=1-s2.0-S0167715216000043&_mathId=si52.gif&_user=111111111&_pii=S0167715216000043&_rdoc=1&_issn=01677152&md5=2123058f3e9c9d8244c5a74b2ce6e492" title="Click to view the MathML source">pclass="mathContainer hidden">class="mathCode">$p$-values for control of the family-wise error rate. For demonstration, we apply the MADAM to data from a genetic association study.