MetaInsight v7:Making a Comprehensive App for Network Meta-analysis Reproducible
20 April, 1 PM (GMT), Online
MetaInsight is a web app for conducting network meta-analyses which enable comparisons between treatments in different studies, even when no direct comparisons have been made. Launched in 2019, the app has a growing user base and has been cited in over 300 papers. We present a major update focussed on enabling reproducibility of analyses conducted outside of the app, creating a permanent record either as a Quarto or html document. Additionally, we have improved plot downloads, added the option to upload risk of bias data, developed a new interface for excluding studies from sensitivity analyses, enabled data exports to the CINeMA app (Confidence in Network Meta-Analysis) and update models automatically. As a side product of enabling reproducibility, the functionality of the app is also made available for users without running the app, providing a simple interface to various R packages used to conduct network meta-analyses. The talk will demonstrate the new features, discuss their development and potential future improvements.
About Simon:
Simon Smart is a software developer in the School of Medical Sciences at the University of Leicester, UK. He has a background in plant and agricultural science and began developing Shiny apps in 2018, originally for forecasting yield in tomato and potato crops. He developed the shinyscholar package for creating reproducible Shiny apps and has applied it to create Disagapp for epidemiological modelling and refactor MetaInsight for network meta-analysis. He strives to create flexible, robust and reproducible apps using modern workflows that break down barriers for performing complex analyses.