Meta Analysis via Shiny

Interactive shiny application for running a meta-analysis, provides support for both random effects and fixed effects models with the 'metafor' package. Additional support is included for calculating effect sizes plus support for single case designs, graphical output, and detecting publication bias.

MAVIS: Meta Analysis via Shiny v1.1.3 "Smiling Fox"

Live demo of MAVIS v1.1.3 can be found here http://kylehamilton.net/shiny/MAVIS/

June 21, 2016

• Examples now include data from published papers
• More effect size calculators have been added

August 4, 2015

• Version 1.1.1 has been sent to CRAN
• Added one new effect size calculator and included the Turkish version of MAVIS (aRma) to the package.

April 29, 2015

• Version 1.1 has been sent to CRAN.

List of Packages Used

library(shiny) 
library(shinyAce) 
library(shinyBS)
library(metafor) 
library(meta) 
library(MAd) 
library(MAc) 
library(quantreg) 
library(ggplot2)
library(compute.es)
library(SCMA)
library(SCRT)

The first production release of MAVIS is now available on CRAN! v1.1 has been named "Smiling Fox"

Photo by https://www.flickr.com/photos/harlequeen/

Image Licensed under https://creativecommons.org/licenses/by/2.0/

Acknowledgments and Authors

Acknowledgments

W. Kyle Hamilton would like to thank the Health Communications and Interventions Lab at UC Merced for their comments and beta testing efforts on this application as well as Kathleen Coburn for her feedback and evaluation of the statistical methods related to this project.

Atsushi Mizumoto would like to thank Dr. Luke Plonsky and Dr. Yo In'nami for their support and feedback to create this web application.

Authors

W. Kyle Hamilton - University of California, Merced

W. Kyle Hamilton maintains this application and has authored new features.

Burak Aydin, PhD - Recep Tayyip Erdoğan University

Burak Aydin is working on a Turkish version of MAVIS and contributed the dichotomous data entry feature.

Atsushi Mizumoto, PhD - Kansai University

Atsushi Mizumoto wrote the first version of this application; this application is a fork of the original which can be found here

Kathleen Coburn contributed technical advice on how to run a meta-analysis as well as information on publication bias.