Presenter: Alex Mitrophanov, PhD in Mathematics, Senior Statistician at FNLCR/NCI/NIH.

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 will be a hybrid event. To register, please visit the following link: https://cbiit.webex.com/weblink/register/r04cfc554c2302020494b9b0f9a362da5

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.