Presenter: Alexander Y. Mitrophanov, Ph.D., Advanced Biomedical Computational Science (ABCS), FNLCR/NIH (Frederick, MD)

This lecture will center on essential concepts in correlation and regression analysis. We will start with the definitions and a brief comparison between correlation and regression, followed by an overview of univariate and multivariate linear regression, focusing on the standard approach (which involves sum-of-squares minimization). We will then see how these ideas can be extended to nonlinear regression. We will also try touching upon some special topics, such as variable selection and predictive modeling. The 2nd half of the lecture will be focused on the three main correlation coefficients: Pearson’s, Spearman’s, and Kendall’s coefficients. We will see what types of analyses they can be useful for and also discuss some related notions. The expected level of attendees’ knowledge is beginner to intermediate. Familiarity with the basic notions of correlation analysis and linear regression is recommended. 

This will be a hybrid event (presenter will be remote). To register, please visit the following link: https://cbiit.webex.com/weblink/register/rfe81e7493bc27710b2aa1a89d60de88d

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.