140.850.01 ADVANCED SPECIAL TOPICS IN BIOSTATISTICS
Exposes Biostatistics PhD students to advanced special topics that are not covered in the core courses. Comprises two- and four-week modules, with revolving instructors and topics. Possible topics include: theory underlying analysis for correlated data; latent variable modeling; advanced survival analysis; image analysis; time series; and likelihood inference.
As the content of this course varies from year to year, the course objectives will, as well. Generally, upon successful completion of this course, students will be able to do the following for the specific topic areas covered: 1) identify the central issues; 2) demonstrate knowledge of key models, estimation strategies, theoretical properties, and data displays; 3) describe steps for implementing analyses of relevant data 4) engage in related statistical research.
Ph.D. core courses or consent from the instructors