BSTA 530 Biostatistics Lab

Credits: 3
The course provides hands-on data analysis or biostatistical consulting experience to students outside classroom settings. Students will have opportunities to perform data analysis with inputs from faculty members. Students should have adequate skills in at least one statistical program such as R or SAS, and finished BSTA 512 Linear Models or equivalent. Students meet weekly for 1-2 hour with the course instructor for discussion on their projects and are required to have regular meetings with an assigned faculty advisor and consultee(s), if applicable. Students are expected to work individually or in a team of 2-3 on actual data analysis. In addition, there is a weekly reading assignment. The workload will be at least 9 hours per week including all activities (classes, meetings, readings, coding, and analysis).

Graded: Pass/No pass
May be taken only once for credit