Monday, February 14, 2011 14h-16h
Dr. Russ Steele, McGill Department of Mathematics and Statistics
Today's workshop will be on the subject of meta-analysis. Meta-analysis is used to summarize results from different studies when the original data are not available. In this workshop, we will cover the basic fixed and random effects meta-analysis models, standard assumptions, things to look out for, and the usual ways that people present meta-analysis results and examine fidelity to assumptions.
Only basic statistical inference ideas are necessary (normal distribution, t-test, mean, variance, etc.), but those with a bit more knowledge are free to bring up more complex issues. We will primarily use the meta package in R and so will spend some time exploring different meta-analysis options available in that package.
- Background knowledge of basic statistics
- normal distribution
- mean, variance, etc.
- Familiarity with Introductory R skills (commands, functions, help files, scripts, etc.)
- Packages installed in R: