Title:

Xmeta: a comprehensive tool-box for advanced meta-analysis
– meta-analysis, publication bias, and beyond

Abstract:

In this talk, I am going to introduce a web-platform that we have been developing over the last few years, known as ‘xmeta’ (https://www.xmeta.wiki/), which aims to facilitate advanced comprehensive meta-analysis for applied investigators within and beyond the Perelman School of Medicine at University of Pennsylvania. The functionality of this platform includes implementation of various multivariate meta-analysis for continuous and/or binary outcomes in randomized controlled trials, meta-analysis of diagnostic tests with/without gold standard, as well as methods to identify and correct for publication biases or small study effects. In addition, I will also introduce the online-analysis feature, which allows applied investigators to conduct these analyses without programing by themselves. At the end, I will talk about the future direction of incorporating semi-automated text mining to speed up the systematic review process.