Advanced Methods for Meta-Analysis

(Formerly HRP 265) Meta-analysis is a method to quantitatively combine information from multiple studies; this combination is also called "research synthesis." Historically, it has been used to combine studies with a similar design, such as randomized controlled trials or observational studies examining similar interventions or exposures. However, evidence about a given relationship is often provided by many studies with different designs, or studies that can be "fit together" to create an evidence base. This can only be done with advanced meta-analytic methods. The course will cover advanced methods for research synthesis, including multivariate meta-analysis for multiple outcomes, generalized evidence synthesis of multiple study designs, and network meta-analysis for multiple interventions. These techniques are being increasingly used in evidence-based medicine, health technology assessments and policy making. Recommended preparation: EPI 206, and at least 2 quarters of biostatistics and one of epidemiology, including clinical research design. Familiarity with logistic and linear regression modeling required.