2.0

credits

Average Course Rating

Introduces quantitative epidemiologic techniques applied by both academics and public health professionals to analyze and interpret routinely collected at the subpopulation level to target and address health inequities. Four modules include instruction in Stata and R, with topics including: 1. Weighted Survey Analysis: Analytic techniques for the incorporation of weights in the analysis of survey data to make inferences about the target population. 2. Calculating Life Expectancy: Calculation of single-decrement life tables using statistical programs as well as publically available Excel-based tools. 3. Estimate Preventable Deaths: Econometric techniques for estimating preventable deaths and potential lives saved from risk factor modification. 4. Conceptual Frameworks in Epidemiology: Apply graph theory to understand the relationships between variables in commonly-used causal frameworks. Understand the importance of using conceptual frameworks in guiding epidemiologic inquiry.