Multiple testing: when is many too much?
Rolf H. H. Groenwold, Jelle J. Goeman, Saskia le Cessie, Olaf M. Dekkers
Abstract
In almost all medical research, more than a single hypothesis is being tested or more than a single relation is being estimated. Testing multiple hypotheses increases the risk of drawing a false-positive conclusion. We briefly discuss this phenomenon, which is often called multiple testing. Also, methods to mitigate the risk of false-positive conclusions are discussed.
Topics & Concepts
PhenomenonStatistical hypothesis testingRelation (database)MedicineComputer scienceMathematicsStatisticsData miningEpistemologyPhilosophyStatistical Methods in Clinical TrialsMeta-analysis and systematic reviewsBiomedical Text Mining and Ontologies