Course directors:

Craig Umscheid and Yong Chen

 

Objective:

This 1.0 unit graduate-level course will provide an introduction to the fundamentals of systematic reviews and meta-analyses.  It will cover introductory principles of meta-analysis; protocol development; search strategies; data abstraction methods; quality assessment; meta-analytic methods; and applications of meta-analysis.  The course is composed of a series of weekly small group lectures and discussions. Students will be expected to attend weekly didactics, participate in class discussions, review assigned readings, complete homework assignments, and draft a systematic review protocol of their choosing suitable for IRB submission.

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Assignments:

Students will be required to complete readings in the textbook and articles referenced for each session. In addition, each student will complete homework assignments assigned by the instructors including a data analysis project using a meta-analysis dataset provided by the instructors: download Stata meta-analysis modules from the Stata website, review dataset variables, complete an analysis, and write-up their findings. Finally, students will draft a systematic review protocol of their choosing and present their protocol at the conclusion of the class. There are no examinations.

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