Introduction to linear mixed-effects modeling

About this Class

This session will cover the basics of linear mixed-effects modeling as a method of regression analysis for clustered data. Special emphasis will be on the ideas behind random-intercepts and random-slopes modeling, and the discussion will be centered on simple and concrete examples. This session is geared towards participants with beginner to intermediate knowledge of applied statistics or biostatistics. Familiarity with regression analysis is also recommended. This session will be recorded, and materials will be posted on the ABCS training site and will also be shared with attendees a few days after the event.

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