2023-2024 Academic Catalog

PMO 522 Meta-analysis

Using interactive, small group self-directed learning techniques, the course objectives are to (1) understand the strengths and weaknesses of meta-analysis and when the method is appropriate; (2) understand the steps of meta-analysis, including question definition, literature review, data abstraction, analysis and publication; and (3) understand the theory and statistical methods of meta-analysis including fixed and random effects models, tests of heterogeneity, publication bias, file drawer tests, and sensitivity analysis. By the conclusion of the course, students will have the skill set necessary to conduct a meta-analysis.

Credits

0.75