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- Multiple Testing. Part III. Procedures for Control of the Generalized Family-Wise Error Rate and Proportion of False Positives
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- Mark J. van der Laan, Division of Biostatistics, School of Public Health, University of California, Berkeley
- Sandrine Dudoit, Division of Biostatistics, School of Public Health, University of California, Berkeley
- Katherine S. Pollard, Center for Biomolecular Science & Engineering, University of California, Santa Cruz
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- Abstract:
- The accompanying articles by Dudoit et al. (2003b) and van der Laan et al.
(2003) provide single-step and step-down resampling-based multiple testing
procedures that asymptotically control the family-wise error rate (FWER)
for general null hypotheses and test statistics. The proposed procedures
fundamentally differ from existing approaches in the choice of null
distribution for deriving cut-offs for the test statistics and are shown
to provide asymptotic control of the FWER under general data generating
distributions, without the need for conditions such as subset pivotality.
In this article, we show that any multiple testing procedure
(asymptotically) controlling the FWER at level alpha can be augmented
into: (i) a multiple testing procedure (asymptotically) controlling the
generalized family-wise error rate (i.e., the probability, gFWER(k), of
having more than k false positives) at level alpha and (ii) a multiple
testing procedure (asymptotically) controlling the probability, PFP(q),
that the proportion of false positives among the rejected hypotheses
exceeds a user-supplied value q in (0,1) at level alpha. Existing
procedures for control of the proportion of false positives typically rely
on the assumption that the test statistics are independent, while our
proposed augmentation procedures control the PFP and gFWER for general
data generating distributions, with arbitrary dependence structures among
variables. Applying our augmentation methods to step-down multiple testing
procedures that asymptotically control the FWER at exact level alpha (van
der Laan et al., 2003), yields multiple testing procedures that also
asymptotically control the gFWER and PFP at exact level alpha. Finally,
the adjusted p-values for the gFWER and PFP-controlling augmentation
procedures are shown to be simple functions of the adjusted p-values for
the original FWER-controlling procedure.
- Subject Area:
- Statistical Theory and Methods
- Suggested Citation:
- Mark J. van der Laan, Sandrine Dudoit, and Katherine S. Pollard,
"Multiple Testing. Part III. Procedures for Control of the Generalized Family-Wise Error Rate and Proportion of False Positives"
(January 2004).
U.C. Berkeley Division of Biostatistics Working Paper Series.
Working Paper 141.
http://www.bepress.com/ucbbiostat/paper141