GHUCCTS

Event Calendar

Share This

MHRI-GHUCCTS Monthly Statistical Seminar Series: Generalized Linear Models

Date Fri, Oct 20
Time 12: 00 PM - 1: 00 PM
Location Zoom

This month's MHRI-GHUCCTS Monthly Statistical Seminar Series will be held Friday, October 20, 2023, 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. 

This month's seminar will look at statistical analyses where the outcome variable is categorical: binary, ordinal or multinomial. These outcomes are typically analyzed by logistic regression. In addition, we will discuss analyses for count data (e.g., hospital ICU infections per month). As with linear regression, these analyses included assumptions about the relationships among variables – and we will look at the impact of violation of these assumptions.

Upcoming Events
Mar 20
This symposium explores how experts from different fields—ethics, data science, informatics, and epidemiology—work together to make sure health data are used responsibly. We will discuss real-world challenges like protecting people’s privacy, getting consent before using personal data, and ensuring that health decisions are fair for all communities, especially those who have been—and continue to be—underrepresented, underprivileged, or underserved (the "triple Us").
This panel discussion will center on reimagining the design and delivery of perinatal care to advance health equity and improve perinatal outcomes for all birthing people.
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 21
2025 Clinical Research Coordinator Workshop  Mar 21, 2025  08: 30 AM - 3: 00 PM  Washington DC VA Medical Center
Join us for a free workshop that is designed for clinical research coordinators who are interested in enhancing their competency in the field of clinical research. This workshop is open to all clinical research team members.
Close