140.850.41
Advanced Special Topics in Biostatistics
Discontinued
- Location:
- Internet
- Term:
- 1st term
- Department:
- Biostatistics
- Credits:
- Variable Credit
- Academic Year:
- 2022 - 2023
- Instruction Method:
- Synchronous Online
- Auditors Allowed:
- No
- Undergrads Allowed:
- No
- Grading Restriction:
- Pass/Fail
- Contact:
- Mary Joy Argo
- 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 - For Biostatistics PhD students only
- For consent, contact:
- Special Comments:
This is the hybrid online/onsite section of a course that is also offered onsite only. Students will need to commit to the modality for which they register.