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Course Description

This course provides background in advanced applied statistical methods in clinical research. Topics in the course include Poisson, multinomial, and ordinal regression, competing risk survival models, longitudinal data analysis, and hierarchical mixed models. The course provides students with the statistical foundations of these methods and their applications in clinical research.

Basic Enrollment Requirements: Unofficial Transcript - Bachelor's. You will be contacted after registration for required evidence of immunization; please contact lucia.fenney@tufts.edu with any questions regarding immunizations.

Pre-requisite: Students must be physicians and other professional health care practitioners.

Instructor Approval: Required; Please email the instructor of this course to request permission to enroll. We typically recommend including a resume, your educational history, and 2-3 sentences as to why you are interested in taking the course. You may register for this course before receiving approval, but your enrollment will not be confirmed until approval is received. Please contact us at courses@tufts.edu if you have not heard back from your instructor.

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the offering type: whether the offering is a course, workshop or short course, or in-demand offering. Please refer to the section details to confirm the type of offering as well as any exceptions to the standard refund policy. The refund policies for each offering type are viewable here: https://universitycollege.tufts.edu/policies/refunds#Courses-at-Tufts-(Academic-Year--Summer-Session)

Remission Eligible: Yes; first day of term; all university policies apply.

Affiliated With:

  • Graduate School of Biomedical Sciences