This webinar is of interest to both new and experienced users of EPPI Reviewer and explains the support that the tool provides for a range of Cochrane authors. The webinar covers: an introductory overview EPPI Reviewer and how it integrates with Archie and RevMan; more efficient screening in large reviews through using text mining and machine learning; how EPPI Reviewer supports quality assessment, data extraction and synthesis in complex and qualitative reviews; and advanced functionality for network meta-analysis and integration of R-project packages
The webinar, originally part of the Cochrane Learning Live programme, was presented by Professor James Thomas from the Evidence for Policy and Practice Information and Co-ordinating Centre (EPPI-Centre) at University College London.
We have edited the webinar into a series of videos available below, covering:
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Introduction to EPPI Reviewer
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Integration with Archie and RevMan
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Machine learning/text mining in citation screening
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How to do screening in EPPI-Reviewer
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Quality assessment & data extraction in complex/qualitative reviews
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Advanced meta-analysis
You can also download a PDF copy of the slides from the webinar below.
