ESMARConf2021 Session 3 (User Interfaces): W. Kyle Hamilton
Channel: ESMARConf2021
Date: 2021-01-21

Presenter: W. Kyle Hamilton
Session: User Interfaces (https://youtu.be/kDs3HezTrZ8)
Title: Jamovi as a Platform for Running a Meta-Analysis
Abstract: Meta-analysis is a key quantitative component of evidence synthesis. Over the last 40 years the popularity and utility of meta analytic methods has had an enormous impact in biology, ecology, medicine, and the social sciences. Within the fields of medicine and public health it has become an essential method for medical professionals and scholars on summarizing the known effects of medical treatments and interventions. For example, these analyses can combine the results from multiple published studies to evaluate the effectiveness of a drug or investigate the effectiveness of behavior on health. MAJOR is an add on module for the open source Jamovi statistical platform which allows users to produce a publication quality meta-analysis. Both software projects are quickly being adopted for use in classes and workshops by colleges, universities, and medical schools around the world as a replacement for expensive proprietary statistical software. Jamovi uses an intuitive point and click interface which lowers the learning curve required to run analyses. Also, both Jamovi and MAJOR use R to run the analyses and can create reproducible analyses scripts for use in the native R environment. MAJOR combines a variety of packages from the R community, including the popular metafor package to produce fixed, random, and mixed effects meta-analytic models, methods for detecting publication bias, effect size calculators, and generation of publication grade graphics.

Please cite as: Hamilton, William (2021): Jamovi as a Platform for Running a Meta-Analysis. Presentation at ESMARConf2021. figshare. Conference contribution. https://doi.org/10.6084/m9.figshare.13638011.v1