22 Oct 2021
Seminar, Lecture, Talk
Department of Mathematics - Seminar on Statistics - Fallacies of selection: challenges in post-selection inference
Selection bias arises when the effects of selection of variables or models on subsequent statistical analyses are ignored, i.e., failure to take into account “double dipping” of the data when assessing statistical evidence. Eighty years