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MHRI-GHUCCTS Monthly Statistical Seminar Series: Classification and Regression Trees

Date Fri, Mar 21
Time 12: 00 PM - 1: 00 PM
Location Zoom


This month's MHRI-GHUCCTS Monthly Statistical Seminar Series will be held Friday, March 21, 2025, from 12 PM - 1 PM. This series features Dr. Paul Kolm, Associate Director in the Center for Biostatistics, Informatics, & Data Science (CBIDS) at MedStar Health Research Institute.

The topic of this month's seminar will be tree-based analysis assesses relationships among variables by dividing the variables into subcategories of categorical variables or “bins” for continuous variables that optimizes prediction of the outcome variable (can be categorical or continuous). This is in contrast to developing mathematical prediction models. Some advantages of tree-based models are eliminating the need for variable transformation (no assumptions about variable distribution) and allowing for missingness to be included as a category itself.  

  

Upcoming Events
Mar 18
Joint Distinguished Scientist Seminar Series & GHUCCTS Seminar  Mar 18, 2026  5: 00 PM - 6: 00 PM  Hybrid - New Research Building Auditorium & via Zoom
"Rethinking the Role of Race in Research: Introduction to Population Conscious Analysis” with Dr. Felicity Enders.
Mar 19
This TBS session with Dr. Regina Armstrong will focus on her approach to translatable science with an extensive question-and-answer session.
Mar 20
MHRI-GHUCCTS Monthly Statistical Seminar Series: Missing Data  Mar 20, 2026   12: 00 PM - 1: 00 PM  Zoom
This free monthly webinar features Dr. Paul Kolm, Associate Director in the Department of Biostatistics and Biomedical Informatics at the MedStar Health Research Institute.
Mar 24
GHUCCTS Education: Talking with Strangers: Transformative Science Communication (Part 1)  Mar 24, 2026   12: 00 PM - 4: 00 PM  Warwick Evans Conference Room, Georgetown University or Louis Stokes Health Sciences Library, Howard University
In-person event designed to equip scholars with practical frameworks and applied skills to communicate translational research effectively to scientific, clinical, and community audiences, including training on audience analysis, message clarity, authenticity, approachability, and engagement strategies.
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