Paradoxical results of adaptive false discovery rate procedures in neuroimaging studies

Philip T. Reiss, Armin Schwartzman, Feihan Lu, Lei Huang, Erika Proal

פרסום מחקרי: פרסום בכתב עתמאמרביקורת עמיתים

תקציר

Adaptive false discovery rate (FDR) procedures, which offer greater power than the original FDR procedure of Benjamini and Hochberg, are often applied to statistical maps of the brain. When a large proportion of the null hypotheses are false, as in the case of widespread effects such as cortical thinning throughout much of the brain, adaptive FDR methods can surprisingly reject more null hypotheses than not accounting for multiple testing at all-i.e., using uncorrected p-values. A straightforward mathematical argument is presented to explain why this can occur with the q-value method of Storey and colleagues, and a simulation study shows that it can also occur, to a lesser extent, with a two-stage FDR procedure due to Benjamini and colleagues. We demonstrate the phenomenon with reference to a published data set documenting cortical thinning in attention deficit/hyperactivity disorder. The paper concludes with recommendations for how to proceed when adaptive FDR results of this kind are encountered in practice.

שפה מקוריתאנגלית אמריקאית
עמודים (מ-עד)1833-1840
מספר עמודים8
כתב עתNeuroImage
כרך63
מספר גיליון4
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - דצמ׳ 2012
פורסם באופן חיצוניכן

ASJC Scopus subject areas

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