On the False Discovery Rate and Expected Type I Errors

By Helmut Finner, Markus Roters. 2001

172 citations recorded by the source corpus.

Subfields: Hardware and Architecture, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7ccdb4cad5622783e44a3a70f5ee88cf067cefd4

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Citations in the corpus

FDR-CONTROLLING STEPWISE PROCEDURES AND THEIR FALSE NEGATIVES RATES (2004, background): “It is important to note, however, that the step-up test with these critical values in the independence case is actually exactly equal to n0α/n (Benjamini and Yekutieli, 2001; Finner and Roters, 2001; Sarkar, 2002).”
Hochberg's Step-Up Method: Cutting Corners Off Holm's Step-Down Method (2007, background): “Here H0m+1 is tested at (m + 1)α. Finner & Roters (2001) provides detailed examples.”
Two simple sufficient conditions for FDR control (2008, methodology): “tly a uniform variable on [0,1]. Then the linear step-up procedure (with ∀h,π(h) = 1/m and Λ the cardinality measure) has a FDR exactly equal to |H0|α/m. The above proposition has been ﬁrst proved by [6] and [3]. We propose here a selfcontained proof using the speciﬁcity of the step-up algorithm (an”
α‐investing: a procedure for sequential control of expected false discoveries (2008, background): “As discussed by Finner and Roters (2001), step-down tests share this problem.”
Estimating the proportion of true null hypotheses, with application to DNA microarray data (2005, methodology): “An algorithm for calculating an approximate nonparametric maximum likelihood estimator of f The algorithm that we present was proposed by Fedorov (1972) and Wynn (1970) in completely different contexts.”
Multiple Testing for Exploratory Research (2011, methodology): “Examples of such procedures are the tree-based testing procedure of Meinshausen (2008), recently improved by Goeman and Solari (2010), the focus level procedure of Goeman and Mansmann (2008), and the gatekeeping method of Edwards and Madsen (2007).”
RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis (2018, background): “The FDR is a set property and has no interpretation when the set, post-FDR calculation, is altered [157].”
A note on the adaptive control of false discovery rates (2004, methodology): “A natural alternative is to use the result of Finner and Roters (2001) to provide adaptive control of the FDR, by attempting to achieve FDR = F̂DRλ.”
Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach (2004, methodology): “Under the assumption of independent and uniformly distributed null p-values, the BH procedure controls the FDR at exactly level π0α (see Finner and Roters (2001), Benjamini and Yekutieli (2001) and theorem 2 below).”
Multiple hypothesis testing in genomics (2014, methodology): “This property says something about the set R , but this does not translate to subsets of R or to speciﬁc individual hypotheses that are elements of R [19].”