UT Southwestern Events Calendar

CTSA Program - Biostatistics, Epidemiology, & Research Design (BERD) Quarterly Virtual Seminar Series


Please register for the BERD Quarterly Virtual Seminar Series event on Monday, March 20th at 03:00 PM to hear Dr. Hoang-Linh Nghiem present "Overview of Sufficient Dimension Reduction".

Linh Nghiem is a Lecturer in Statistics from the School of Mathematics and Statistics at the University of Sydney. As a methodological and applied statistician, Linh is interested in developing novel statistical methodologies to address scientific questions using data. His current interests are measurement error models, dimension reduction, and graphical models. His work has been published in leading statistical journals, including Biometrika, Biometrics and Statistics in Medicine.


Abstract: Dimension reduction plays an essential role when working with large datasets, especially when the number of predictors is much larger than the number of observations. In the context of regression, sufficient dimension reduction (SDR) refers to a class of methodologies that both perform dimension reduction on covariates and no information to predict the outcome from the original covariates is lost after the reduction. Combining dimension reduction with the sufficiency principle of statistical inference, SDR has increasingly gained popularity and showed strong performance in large and big datasets. The talk will provide an overview of some popular SDR methods and their recent developments on some complex settings, such as high-dimensional and longitudinal datasets.


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Event Details

  • Elizabeth Reber-Rider
  • Aatika Parwaiz
  • Fouzia Sheikh

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