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Database Analytics in Pharmacoepidemiology
EPI 286

Course Information

Description

Description: Using contemporary examples and drawing on the expertise of researchers in pharmacoepidemiology, this course covers a range of study designs and analytic techniques for nonexperimental studies of the utilization, safety, and effectiveness of pharmaceuticals.

Students will gain practical experience working with large electronic health care databases through a series of hands-on exercises. Examples include reviewing claims profiles; analyzing a synthetic dataset to assess the impact of important time-related biases; designing a target trial emulation; and conducting sensitivity analyses.

 

Faculty will lead in-class discussions on study design options, analytic strategies, and approaches to addressing confounding and other sources of bias. The course is intended for individuals who plan to conduct nonrandomized studies using electronic health care databases in academia, the pharmaceutical or biotechnology industry, pharmacy benefit management, national regulatory agencies, or other research organizations. 

Course activities: Class discussions, assigned readings, active-learning, and hands-on exercises to gain practical experience working with large electronic healthcare databases.

Course notes: familiarity with epidemiology study designs and data analysis approaches is expected.

School Harvard Chan School
Credits 2.5
Cross Reg

Available for Harvard Cross Registration

Department Epidemiology
Course Component Lecture
Instruction Mode In Person
Grading Basis HSPH Student Option (Audit, Ordinal, Pass/Fail)
Course Requirements Students outside of HSPH must request instructor permission to enroll in this course