Analysis of Quantitative Health Care Data

This course is designed to teach students the fundamentals of planning, conducting, and communicating the analysis of quantitative data within the context of applied health research. Students will learn quantitative data analysis through hands-on experience using different sources of data (e.g., clinical trial, cross-sectional survey, prospective cohort, etc.). Topics will include descriptive statistics, t-Test, ANOVA, linear regression, logistic regression, poisson regression, and proportional hazards regression. Several techniques to adjust for confounding will be covered. Students will learn to apply their analytic skills using SAS.