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Course Catalog

140.850.01 Advanced Special Topics in Biostatistics

Department:
Biostatistics
Term:
2nd term
Credits:
variable credit
Academic Year:
2017 - 2018
Location:
East Baltimore
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Pass/Fail
Contact:
Mary 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:

  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

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

For consent, contact:

margo@jhsph.edu