Monday, February 14, 2011 14h16hDr. Russ Steele, McGill Department of Mathematics and Statistics
Today's workshop will be on the subject of metaanalysis. Metaanalysis 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 metaanalysis models, standard assumptions, things to look out for, and the usual ways that people present metaanalysis results and examine fidelity to assumptions.Only basic statistical inference ideas are necessary (normal distribution, ttest, 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 metaanalysis options available in that package. Preparation Background knowledge of basic statistics
 normal distribution
 mean, variance, etc.
 ttest
 Familiarity with Introductory R skills (commands, functions, help files, scripts, etc.)
 Packages installed in R:
