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演講公告

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Fallacies of selection: challenges in post-selection inference

  • 2023-06-12 (Mon.), 10:30 AM
  • 統計所B1演講廳;茶 會:上午10:10。
  • 實體與線上視訊同步進行。
  • Prof. Ian Mckeague
  • Department of Biostatistics, Columbia University. / Department of Biostatistics, City University of Hong Kong.

Abstract

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 ago, the prominent statistician and mathematical economist Harold Hotelling drew attention to this issue.  In recent years, there has been a concerted effort to address the problem, giving rise to the nascent field of post-selection inference.  In this talk I will give a review focusing on several post-selection inference problems: large-scale case-control studies, canonical correlation analysis in high dimensions, and  screening high-dimensional predictors of survival outcomes.

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1120612 Prof. Ian Mckeague.pdf
最後更新日期:2023-05-25 08:40
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