Presenter: Kutsev Bengisu Ozyoruk, PhD, Molecular Imaging Branch, NCI, NIH

Dive into the specialized use of mixed effects models tailored to address the challenges of inter-reader variability in medical imaging studies. This presentation delves into how these models adeptly manage the random effects introduced by the diverse interpretations of different radiologists, along with the fixed effects associated with study-specific factors such as imaging modalities and patient demographics. A detailed case study will also be examined to illustrate the setup, execution, and statistical analysis of these models in a multi-reader context. This talk is geared towards a beginner-intermediate audience.

This will be a hybrid event (presenter will be remote). To register, please visit the following link: https://cbiit.webex.com/weblink/register/rf7d97939b6e4058996d56b440c53dbd2 

This session will be recorded, and materials will be shared with attendees a few days after the event. 

For additional details and questions, please contact Natasha Pacheco (natasha.pacheco@nih.gov), Advanced Biomedical Computational Science group, Frederick National Laboratory for Cancer Research.