This session will explore the generic inverse variance meta-analysis method and extend the discussion beyond standard dichotomous and continuous outcomes.
The presenter will introduce additional outcome types, including ordinal, count, and time-to-event data, as well as non-standard data structures and study designs commonly encountered in systematic reviews. Specifically, the session will examine the challenges and considerations involved in synthesizing evidence from multi-arm studies, cluster-randomised trials, cross-over trials, and non-randomised studies, providing insights into how these can be included in a meta-analysis.
This session is for anyone interested in conducting systematic reviews or training others in systematic review methods. It is primarily aimed at Cochrane authors and trainers from Lower Middle Income Countries (LMICs), although anyone is welcome to attend.
Presenter Bio
Dr. Areti-Angeliki Veroniki is an Associate Professor at the Center for Evidence Synthesis in Health, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA. She is also co-chair of the Methods Executive and co-convenor of the Statistical Methods Group in Cochrane.
