Mixed Effects Models for Assessing Inter-Reader Variability in Medical Image Analysis Studies

About this Class

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 multireader context. This talk is geared towards a beginner–intermediate audience.