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.
Upon successfully completing this course, students will be able to:
Identify the central issues
Demonstrate knowledge of key models, estimation strategies, theoretical properties, and data displays
Describe steps for implementing analyses of relevant data
Engage in related statistical research
Ph.D. core courses or consent from the instructors