Agenda  »  Learning objectives

Course learning objectives

Basic course

The objective of this course is to introduce students to the logic of a basic meta-analysis and teach them how to perform a meta-analysis, critique a meta-analysis, and avoid common mistakes in meta-analysis.  By the end of the course students will understand

  • The goals of a meta-analysis
  • How to choose a statistical model
  • How to choose an effect-size index
  • How to enter data for a simple meta-analysis
  • How to estimate the mean effect size
  • How to quantify and understand heterogeneity in effects
  • How to report the results of the analysis
  • How to create forest plots
  • How to create plots that show the distribution of true effects
  • How to avoid common mistakes in all these areas

Advanced course

The objective of this course is to teach students advanced issues in meta-analysis. By the end of the course the student will understand

  • How to use subgroup analyses to compare the impact of a treatment in sets of studies that enrolled different populations or employed different variants of an intervention (analogous to ANOVA in a primary study)
  • How to use meta-regression to assess the unique impact of continuous or categorical covariates on the effect size (analogous to multiple-regression in a primary study)
  • How to assess the potential impact of publication bias on the analysis
  • What to do when there are only a small number of studies in the analysis
  • How to avoid common mistakes in all these areas
researchers
Testimonials

"I was worrying whether I can understand this content well before I attended the course. However, this fear vanished while I participated in the course. I love the teaching style of the instructor, very efficient, very knowledgeable, and very helpful. The content of the course is very helpful, covering the major issues and even further a range of topics. I enjoyed the course very much and I learned a lot from it. I'm going to use what I have learned and hopefully to come back for an advanced course (if any) in the future."

Junwen Chen - Australian National University - Sydney 2020


"Good comprehensive explanation of difficult concepts. Pre-reading of the Meta-Analysis book, classroom discussion and demonstrations make this course very powerful! Thank you."

Dr. Tahir Saleem - Bayer Healthcare

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