BSTA 517 Statistical Methods in Clinical Trials
Instructor(s): Yiyi Chen, PhD
Course Description This course is designed for students who are interested in learning design and analysis of clinical trials. Starting with a brief introduction to the four phases of clinical trials, the course will cover the most widely used sing-stage and two-stage trial designs. Sample size computations associated with major designs, methods of randomization and blinding, and analysis methods for different designs and endpoints will all be introduced. Towards the end of the course there will be several advanced topics overview sessions such as Bayesian methods in clinical trials, adaptive clinical trial design, designs for cancer clinical trials, etc. These special topics sessions will be open to wider audiences not necessarily enrolled in the Biostatistics Certificate program (e.g. clinical researchers from OHSU Knight Cancer Institute or OCTRI, or interested faculty from OHSU departments). Guest lecturers may be invited to some of the sessions. In addition to homework assignments, students will form groups and work on class project under the supervision of the instructor.
Prerequisite BSTA 511 Estimation and Hypothesis Testing for Applied Biostatistics or equivalent, or permission of instructor