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stat.ME2026
FDR-Controlled Variable Selection for Generalized Linear Models and Cox Regression with Virtual Dummies
Helena Mehler, Taulant Koka, Michael Muma
In genomics, imaging and clinical studies, only a few of many candidate predictors are often nonlinearly associated with a response that may be, e.g. binary, categorical, a count o…
stat.ME2026
Virtual Dummies: Enabling Scalable FDR-Controlled Variable Selection via Sequential Sampling of Null Features
Taulant Koka, Jasin Machkour, Daniel P. Palomar +1
High-dimensional variable selection, particularly in genomics, requires error-controlling procedures that scale to millions of predictors. The Terminating-Random Experiments (T-Rex…