In-person lectures will be focused on discussing statistical methods needed to address pre-defined questions from student-led projects. Backward design to curriculum development will lead to unique sets of concepts being introduced each time the course is administered.

We will work at our lab to practice implementation of biostatistics in R Statistical Software. Functions to conduct data visualization, data cleaning, and statistical modeling approaches tailored to student project needs.

The final output of the course series is a presentation geared to a pre-specified audience (e.g., policy makers or community members) to communicate results of quantitative research and discuss impact on decision-making. Students will complete the projects both in the lab sessions and as part of independent work.

Students who successfully complete the project and attend all sessions will receive a Certificate of Completion. A report of results from an evaluation by stakeholders of work will be provided to each student. Documents will reflect joint partnership between Q4D Lab and ULSOPH.