"Multiple testing under unspecified dependency structure"


Two major problems of current multiple testing research are: (i) The "large p, small n" problem, (ii) Appropriately taking into account dependency structures among marginal tests resp. marginal p-values. Our proposed project aims at combining structural assumptions (e.g. block dependencies or pre-definition of hierarchical sub-families of hypotheses like for instance gene ontology terms in genetic studies) and elements from statistical learning theory in order to tackle the practical and methodological challenges.


Principal Investigators
Reiß, Markus Prof. Dr. (Details) (Research Groups (DFG))

Duration of Project
Start date: 04/2012
End date: 08/2015

Last updated on 2020-11-03 at 23:19