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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.
    • t-test
  • Familiarity with Introductory R skills (commands, functions, help files, scripts, etc.)
  • Packages installed in R:
    • Hmisc
    • meta
Jonathan Whiteley,
Feb 14, 2011, 10:54 AM
Jonathan Whiteley,
Feb 15, 2011, 6:56 AM