140.850.01
Advanced Special Topics in Biostatistics
Location
East Baltimore
Term
1st Term
Department
Biostatistics
Credit(s)
Variable Credit
Academic Year
2023 - 2024
Instruction Method
In-person
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Pass/Fail
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Ph.D. core courses or consent from the instructors
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:
- 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
Methods of Assessment
This course is evaluated as follows:
- 100% Depends on topic being taught
Enrollment Restriction
For Biostatistics PhD students only
This is the in-person section of a course that is also offered virtually. Students will need to commit to the modality for which they register.