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Department: Biostatistics
Term: 4th term
Academic Year: 2013 - 2014

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.

Learning Objective(s):

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.

Methods of Assessment: Depends on topic
Location: East Baltimore
Enrollment Minimum: 10
Enrollment Restriction: For Biostatistics PhD students only
Instructor Consent: Consent required for all students

Consent required only if students have not already completed PhD core courses


Ph.D. core courses or consent from the instructors

Grading Restriction: Pass/Fail