Multiple Regression Analysis - Effect Modifiers and Interactions in R Programming

Learn essential R programming techniques for handling complex datasets through multiple regression analysis, focusing specifically on identifying and working with interaction variables and effect modifiers. Explore how to generate meaningful statistical models by understanding the interplay between multiple variables, and master the practical skills needed to account for these relationships in your regression analysis.