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Wednesday, June 29 • 10:45am - 10:50am
MAVIS: Meta Analysis via Shiny

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We present a Shiny (RStudio & Inc., 2014) web application and R (R Core Team, 2015) package to simplify the process of running a meta-analysis using a variety of packages from the R community, including the popular metafor package (Viechtbauer, 2010). MAVIS (Hamilton, Aydin, and Mizumoto, 2014) was created to be used as a teaching tool for students and for scientists looking to run their own meta-analysis. Currently MAVIS supports both fixed and random effects models, methods for detecting publication bias, effect size calculators, single case design support, and generation of publication grade graphics. With this application we’ve created an open source browser based graphical user interface (GUI) which has lowered the barrier of entry for novice and occasional users.
Moderators
avatar for Joseph Rickert

Joseph Rickert

Program Manager, Microsoft
Joseph is a Program Manager at Microsoft having come to Microsoft with the acquisition of Revolution Analytics. He is a data scientist and R language evangelist passionate about analyzing data and teaching people about R. He is a regular contributor to the Revolutions blog and an... Read More →

Speakers
avatar for W. Kyle Hamilton

W. Kyle Hamilton

Graduate Student, University of California, Merced
Kyle is a graduate student in the health psychology program at the University of California, Merced. His research interests include emotion regulation, electronic cigarettes, agent-based modeling, and human-computer interaction. Kyle has written a few Shiny applications which can... Read More →

Wednesday June 29, 2016 10:45am - 10:50am PDT
SIEPR 120
  Lightning talk, Lightning Talk

Attendees (75)