GHUCCTS

Event Calendar

Share This

MHRI-GHUCCTS Monthly Statistical Seminar Series: Fractional Polynomial Regression

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


This month's MHRI-GHUCCTS Monthly Statistical Seminar Series will be held Friday, February 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 on how linear regression is defined by an intercept and slope of a straight line (i.e., constant slope) describing the relationship between 2 variables. In some cases, however, the relationship is non-linear (slope is not constant). We will discuss both integer and  fractional polynomial regression for assessing non-linear relationships.      

Upcoming Events
Jan 09
TBS Workshop: Skill Series: Journal Club Team A/B  Jan 09, 2025  5: 30 PM - 7: 30 PM  Zoom
Journal Club Presentations: Groups of pre-doctoral and post-doctoral candidates share and discuss articles of interest.
Clinical and Translational Research Grand Rounds are sponsored by the Georgetown-Howard Universities Center for Clinical and Translational Science (GHUCCTS) and its partner institutions (Georgetown and Howard Universities, MedStar Health ResearchInstitute,theWashingtonDC VAMC, andOakRidgeNationalLab)tobring togetherourdiverseclinicalandresearchcommunitiestoshare research that spans disciplines and stages of translation to improve individual and community health. For more information, please contact research@medstar.net or visit www.georgetownhowardctsa.org
Jan 17
MHRI-GHUCCTS Monthly Statistical Seminar Series: Time Series Analysis  Jan 17, 2025   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.
TBS Workshop: Responsible Conduct of Research (RCR) Series - Community Engagement / Social Responsibility
Close