AM3
MODERN META-ANALYSIS FOR HEALTH TECHNOLOGY ASSESSMENT: HANDS-ON WORKSHOP
Course Level: Intermediate
Course Limit: 20
Format Requirements: Mix of didactic lectures, interactive sessions and practical exercises using open source software. Attendees must bring their own laptop and have pre-installed the latest version of the Open-MetaAnalyst software (available at http://www.cebm.brown.edu/open_meta; both PC and Mac versions exist). Attendees are encouraged to install the software before the course. They should contact George Dietz (george_dietz@brown.edu) for help in resolving any installation problems. Basic facility with computer use is required. No experience in meta-analysis methods is assumed. However, some didactic parts of the course are geared towards attendees familiar with basic regression methods.
After the course, attendees will be able to
- Describe the value of meta-analysis of independent studies
- Describe methods for meta-analysis of
- proportions (e.g., prevalence of a disease or a genetic marker) and rates (e.g., incidence rate of an event)
- associations (e.g., between exposures and outcomes) and treatment effects
- diagnostic test performance (e.g., bivariate meta-analysis of sensitivity and specificity)
- Implement and interpret results of such analyses using the graphical user interface (point-and-click)-driven OpenMeta-Analyst software
- Outline the concepts of multivariate meta-analysis including network meta-analysis, and the joint meta-analysis of multiple outcomes, and follow-ups