This course introduces undergraduate students to the field of reproductive epidemiology - population level research into aspects of human reproductive health, with a focus on their public health significance, descriptive epidemiology, etiology and prevention. Using a combination of lectures and small group discussions of published peer reviewed research, this class addresses both methodologic and substantive challenges to reproductive and perinatal epidemiological research.

The aim of this course is to provide students with the skills necessary to tell interesting and useful stories in real-world encounters with data. Specifically, they will develop the statistical and programming expertise necessary to analyze datasets with complex relationships between variables. Students will gain hands-on experience summarizing, visualizing, modeling, and analyzing data. Students will learn how to build statistical models that can be used to describe and evaluate multidimensional relationships that exist in the real world.

This course examines comparative international experiences to better understand the challenges related with health insurance, financing and delivery of health care services, access, and cost of health services and pharmaceuticals in OECD countries.

This is a lecture and discussion-based course where a range of topic areas in chronic disease epidemiology (e.g., heart disease, cancer) will be reviewed and discussed. Topics will most often focus on areas of recent interest or where significant differences of opinion related to scientific findings have existed. Substantial time will be devoted to reviewing publications to improve student skill in reading and interpreting epidemiologic literature published in this arena.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.