Introduction to new random-effects methods in RevMan

There are many methods available to fit random-effects meta-analysis. However, until 2024, the only option available in RevMan has been the DerSimonian and Laird random-effects method. This method is known to have poor statistical performance in meta-analyses with characteristics commonly found in Cochrane reviews (e.g., meta-analyses with few studies). To address this issue, Cochrane is implementing new random-effects methods in RevMan. These include a new method for estimating the between-study (heterogeneity) variance, calculating the confidence interval for the summary effect, and adding prediction intervals to aid in interpreting random-effects meta-analysis findings.

In two web clinics, the presenters will provide participants with knowledge about these new methods and their implementation in RevMan. Specifically, in this first web clinic, the presenters will outline the new methods, while in the second clinic, they will demonstrate the new methods using RevMan.

This first session will cover the following:-

  • Introduction to the new random-effects methods in RevMan
  • Overview of methods to:
    - Estimate the heterogeneity variance (and its confidence interval).
    - Calculate a confidence interval for the meta-analysis effect.
    - Calculate a prediction interval.
  • Discussion on reasons for selecting a particular method.
  • Interpretation of the estimates.
  • Impact of the new methods on updating Cochrane Reviews.
  • Guidance on what to write in a Cochrane protocol.

Presenter Bios

Professor Jo McKenzie is head of the Methods in Evidence Synthesis Unit within the School of Public Health and Preventive Medicine at Monash University, Melbourne, Australia. She is Co-Convenor of the Cochrane Statistical Methods Group and an author of several chapters of the Cochrane Handbook for Systematic Reviews of Interventions.

Dr. Areti Angeliki Veroniki is a Scientist at the Knowledge Translation Program of the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, and an Assistant Professor at the University of Toronto in the Institute of Health Policy, Management, and Evaluation. She is a Co-Convenor of the Cochrane Statistical Methods Group and Co-Chair of the Cochrane Methods Executive.

Sign up

Wednesday, 23 October 2024, 19:30 UTC [check the time in your timezone] SIGN UP HERE

You will need a Cochrane Account to register for this webinar. If you don’t have a Cochrane Account you will be able to register for free on the following page. You will be able to use this account for all future activity. A brief guidance on how to sign up using your Cochrane Account is available here and if you have any problems, please contact support@cochrane.org