4 papers
Identifying Conditions Favouring Multiplicative Heterogeneity Models in Network Meta-Analysis
Xinlei Xu, Caitlin H Daly, Audrey Béliveau
Explicit modelling of between-study heterogeneity is essential in network meta-analysis (NMA) to ensure valid inference and avoid overstating precision. While the additive random-e…
Creating treatment and component hierarchies in component network meta-analysis
Augustine Wigle, Audrey Béliveau, Adriani Nikolakopoulou +1
Component network meta-analysis (CNMA) is a statistical methodology that enables estimation of relative effects for multi-component treatments, such as combinations of antidepressa…
Uncovering All Highly Credible Binary Treatment Hierarchy Questions in Network Meta-Analysis
Caitlin H. Daly, Chloe Tan, Audrey Béliveau
In recent years, there has been growing research interest in addressing treatment hierarchy questions within network meta-analysis (NMA). In NMAs involving many treatments, the num…
Rapid Scaling of Compositional Uncertainty from Sample to Population Levels
Yiran Wang, Martin Lysy, Audrey Béliveau
Understanding population composition is essential across ecological, evolutionary, conservation, and resource management contexts. Modern methods such as genetic stock identificati…