The day will begin with breakfast in the dining facilities at the Campus Village. Students will take the campus shuttle or city bus from downtown Denver to the University of Colorado Anschutz Medical Campus. A typical daily schedule includes:
- 9am - 11:30am: Lectures and related activities.
- 11:30am - 1pm: Lunch break with food provided.
(On special occasions, lunch will include a seminar with discussion by an invited speaker.)
- 1pm - 3pm: Additional lectures or computer laboratory exercises.
- 3pm - 5pm: Afternoon activities, including supplemental computer labs, and time for individual study or work on projects.
- Students will return to the Campus Village for dinner.
Special weekend excursions and activities are also being planned.
Students will take two courses and will receive a total of 6 semester hour credits at the University of Colorado Denver. The courses will include:
- Introduction to Biostatistics Methods: Introduction to methods in the practice of applied biostatistics.
- Introduction to Statistical Theory: A survey of the key concepts in the theoretical underpinnings of biostatistics.
The courses include instruction in statistical computing packages, which will require time in the computer labs on the University of Colorado Anschutz Medical Campus.
Students will be introduced to research collaboration under the mentorship of faculty biostatisticians and biomedical investigators. Projects in the 2016 program included:
- Genome-wide association studies of complex traits.
- Design of a randomized trial to evaluate the effectiveness of thrombolysis for prevention of post thrombosis syndrome in children with deep venous thrombosis.
- Effects of maternal smoking on circulating protein profiles in pre-term infants.
- Population Health project for evidence based asthma management in elementary and middle school students.
Projects for 2017 CoSIBS will also explore the cutting edge of biomedical research.
Students will be introduced to the ethical underpinnings of human research and the National infrastructure to assure the responsible conduct of research.