140.850.01
Advanced Special Topics in Biostatistics
- Location:
- East Baltimore
- Term:
- 4th term
- Department:
- Biostatistics
- Credits:
- Variable Credit
- Academic Year:
- 2022 - 2023
- Instruction Method:
- In-person
- Grading Restriction:
- Pass/Fail
- Resources:
- 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:
- 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
- Instructor Consent:
Consent required for all students
- Consent Note:
Consent required only if students have not already completed PhD core courses