LINEAR REGRESSION IN PUBLIC HEALTH

Catalog description

Applies biostatistical methods used in public health research, with a primary focus on linear regression modeling. Analyzes public health data using regression techniques, including data visualization, assessment of confounding and effect modification, predictor selection, transformation of response variables, model diagnostics, and analysis of observational and experimental studies. Emphasizes exploratory data analysis, interpretation of results, and the use of statistical software for applied public health research.