Course overview
A focused introduction to pooling decisions, forest plots and the limits of a summary estimate, using one guided example.
Learning outcomes
Recognize common effect measures and when pooling may be inappropriate.
Interpret a forest plot, confidence interval and heterogeneity cautiously.
Identify a useful sensitivity question and a limitation of the evidence.
Curriculum
When pooling helps and when it can mislead.
Effect measures and extraction checks.
Fixed-effect and random-effects models: the core distinction.
Reading a forest plot and heterogeneity.
Sensitivity analyses and missing-results concerns.
Worked example: write a cautious synthesis interpretation.
Practical output
Interpret one supplied forest plot, justify a pooling decision and write a brief limitations note.
Course information
Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
