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140.850.01
Advanced Special Topics in Biostatistics

Location
East Baltimore
Note: Due to the COVID-19 Pandemic, this course was held in a virtual/online format.
Term
4th Term
Department
Biostatistics
Credit(s)
Variable Credit
Academic Year
2020 - 2021
Instruction Method
TBD
Available to Undergraduate
No
Grading Restriction
Pass/Fail
Frequency Schedule
Every Year
Prerequisite

Ph.D. core courses or consent from the instructors

Description
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 Objectives
Upon successfully completing this course, students will be able to:
  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
Enrollment Restriction
For Biostatistics PhD students only