QUANTITATIVE APPROACHES TO PUBLIC HEALTH II

Prerequisites & course information

Requisites: PUBLHLTH 783 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Apply common statistical methods for inference. Audience: Graduate 2. Interpret results of statistical analyses found in public health studies. Audience: Graduate 3. Apply statistical software to analyze health-related data. Audience: Graduate 4. Perform univariate data analysis for continuous and categorical variables. Audience: Graduate 5. Apply descriptive and inferential methodologies according to the type of study design for answering specific research questions. Audience: Graduate 6. Evaluate the strengths and limitations of epidemiologic reports. Audience: Graduate 7. Define and discuss the relationship of random error, selection and information bias, and systematic error. Audience: Graduate 8. Define and explain numerous examples of confounding and effect modification and understand how they differ from each other. Audience: Graduate 9. Apply knowledge from the entire course to make epidemiologic decisions on varied public health issues, even if given conflicting research results, exercising critical judgment. Audience: Graduate 10. Describe historical ethical failures in public health research and best practices to perform ethical investigations in public health. Audience: Graduate Learning Outcomes: 1. Apply common statistical methods for inference. Audience: Graduate 2. Interpret results of statistical analyses found in public health studies. Audience: Graduate 3. Apply statistical software to analyze health-related data. Audience: Graduate 4. Perform univariate data analysis for continuous and categorical variables. Audience: Graduate 5. Apply descriptive and inferential methodologies according to the type of study design for answering specific research questions. Audience: Graduate 6. Evaluate the strengths and limitations of epidemiologic reports. Audience: Graduate 7. Define and discuss the relationship of random error, selection and information bias, and systematic error. Audience: Graduate 8. Define and explain numerous examples of confounding and effect modification and understand how they differ from each other. Audience: Graduate 9. Apply knowledge from the entire course to make epidemiologic decisions on varied public health issues, even if given conflicting research results, exercising critical judgment. Audience: Graduate 10. Describe historical ethical failures in public health research and best practices to perform ethical investigations in public health. Audience: Graduate