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:

• Introduction to EPPI Reviewer

• Integration with Archie and RevMan

• Machine learning/text mining in citation screening

• How to do screening in EPPI-Reviewer

• Quality assessment & data extraction in complex/qualitative reviews

• Advanced meta-analysis

The webinar was delivered in July 2016. You can also download a PDF copy of the slides from the webinar below.

Part 1: Introduction to EPPI Reviewer

Part 2: Integration with Archie and RevMan

Part 3: Machine learning/text mining in citation screening

Part 4: How to do screening in EPPI-Reviewer

Part 5: Quality assessment & data extraction in complex/qualitative reviews

Part 6: Advanced meta-analysis

Downloadable file: 

 EPPI Reviewer webinar slides [PDF]

Author information: 

Thomas, James; Watts, Chris; Sambunjak, Dario