Understanding and Interpreting Regression Analysis

Regression is the most widely used and flexible statistical tool for the analysis of observational and experimental data. In this workshop, we will provide an intuitive overview of regression methods, using linear regression models as an accessible starting place. We will briefly show how to run linear models in Stata and discuss in detail how to interpret the results. We will also present and interpret examples of regression models from the literature. Additional topics will include interpretation of regression coefficients, interaction terms, and dummy variables. Finally, we will discuss how linear regression can be generalized to accommodate different kinds of outcomes, like binary (yes/no) and time-to event (survival) outcomes. Slides https://www.ohsu.edu/sites/default/files/2019-05/RegressionInterpretations11-28-18_0.pdf

Introductory

Free