Description: Students taking this course will learn how to conduct statistical analyses of human exposures, and will apply these skills to a dataset containing exposure and health outcome data. They will also develop skills for understanding, interpreting, and communicating exposure information and for identifying and communicating evidence-based risk management recommendations.
Course Goals: This course will give students the opportunity to conduct an in-depth analysis of a single dataset over the course of one semester. The dataset will contain human exposure and health outcome data. Students will apply the exposure analysis techniques discussed in lectures - and any additional techniques they are familiar with and wish to apply - and will also develop skills for understanding.
Competencies: Students will be be able to: 1) Conduct analyses of exposure and health effect data using a common statistical program; 2) Identify and address common limitations of exposure and health effect data; 3) Identify appropriate analytical techniques for exposure and health effect data; 4) Describe and provide rationale for decisions made in exposure and health effect analyses; 5) Articulate key results of exposure and health effect analyses: 6) Compare analytical results to available risk estimates to determine consistency of their findings with other published literature; and 7) Develop and communicate evidence-based risk management recommendations.