How to Interpret the Coefficients in a Linear Regression Model?
The coefficients in a linear regression model represent the change in the dependent variable for a one-unit change in the independent variable. In the context of epidemiology, these coefficients can be interpreted as the effect size of risk factors. For example, a positive coefficient indicates an increase in risk, while a negative coefficient indicates a decrease.