International Day Of Women in Statistics and Data Science: Full Schedule

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13:30 UTC

S115 - Reliable Variable Selection for Biomedical Data Science: From Shrinkage Estimation to Interpretable Learning

Tuesday October 6, 2026 13:30 - 14:00 UTC

Modern biomedical data science increasingly relies on datasets with many predictors, limited sample sizes, and complex correlation structures. In these settings, classical regression and standard variable-selection methods may lead to unstable models, overfitting, or conclusions that are difficult to interpret. Shrinkage and penalized estimation provide a principled framework for improving reliability, but their success depends on how multicollinearity and dependence among predictors are handled. This talk discusses reliable variable selection for biomedical data science, moving from classical shrinkage ideas to modern interpretable learning. The presentation will introduce the motivation behind ridge-type methods, LASSO-based procedures, elastic net estimation, and adaptive penalization, with emphasis on approaches that use correlation information to improve model stability and interpretability. Motivated by biomedical applications such as molecular subtype identification and classification problems, the talk will show how statistically grounded regularization can support both prediction and scientific interpretation. The broader message is that reliable biomedical data science requires methods that are not only accurate, but also stable, transparent, reproducible, and interpretable for domain experts.

Speakers

Mina Norouzirad

Center for Mathematics and Applications (NOVA Math) and Department of Mathematics, NOVA FCT, Portugal

Mina Norouzirad is an Assistant Researcher in Statistics at the Department of Mathematics and the Center for Mathematics and Applications (NOVA Math), NOVA School of Science and Technology, NOVA University Lisbon, Portugal. She is also Co-Coordinator of the Data Science Thematic Line... Read More →

Organizers

Mina Norouzirad

Center for Mathematics and Applications (NOVA Math) and Department of Mathematics, NOVA FCT, Portugal

Tuesday October 6, 2026 13:30 - 14:00 UTC
Zoom Room #1

Plenary Talk, Technical Statistical Session

Country Portugal
Session ID 115

International Day Of Women in Statistics and Data Science

13:30 UTC

Mina Norouzirad

Mina Norouzirad

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