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Prospective, collaborative approaches to evidence synthesis: latest updates

Event date
- (10:00 - 11:00) Check in your time zone
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Cochrane Learning Live

This webinar provides a sneak preview of the soon-to-be-published updates to the Cochrane Handbook chapter on prospective, collaborative approaches to evidence synthesis. 

Participants will learn about prospective meta-analysis (PMA) and other collaborative approaches, including when to use them, their key advantages, and best practices for planning, conducting, reporting, and disseminating findings. 

Using practical examples, the session will demonstrate strategies for systematically searching trial registries, harmonising study designs and outcomes across trials, and managing large international collaborations effectively.

This webinar is for anyone involved in evidence synthesis who is interested in practical guidance and emerging methods to maximise the impact of their research.


Presenter Bios

Dr Kylie Hunter is a Senior Research Fellow and leads the NextGen Evidence Synthesis Team at the NHMRC Clinical Trials Centre, University of Sydney. She is Co-Convenor of the Cochrane Prospective Meta-Analysis Methods Group and was recently elected to the Cochrane Methods Executive. Her research focuses on collaborative evidence synthesis methodologies, in particular, individual participant data and prospective meta-analysis to address high-priority research questions. 

Prof. Anna Lene Seidler is Professor for Health Equity at University Medical Center Rostock and German Center for Child and Adolescent Health. She is also Honorary Affiliate at the NHMRC Clinical Trials Center at the University of Sydney, Honorary Principal Research Fellow at University College London, and Convenor and primary contact of the Cochrane Prospective Meta-Analysis Methods Group. Prof Seidler has made major research contributions to the field of methods development for next generation evidence synthesis approaches, that are geared toward moving beyond the one-size-fits all approach and toward understanding differential health system needs for different population groups.

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