Checking for confounders in Linear Regression using STATA

Confounding occurs when the relationship between a predictor and the outcome is distorted by a third variable. In multiple linear regression, assessing confounding is key to building valid models. In this video, I demonstrate how to assess confounding using STATA, focusing on how to identify potential confounders, compare crude vs adjusted estimates, and apply the 10% change-in-estimate rule. #STATA #LinearRegression #RegressionAnalysis #Epidemiology #Biostatistics #DataAnalysis #ModelBuilding #Statistics