Areti Angeliki Veroniki

Faculty Member


Empirical Assessment of Minimum Clinically Important Differences in Network Meta-Analysis

Accepting Students

This research project aims to evaluate the interpretation of network meta-analysis (NMA) results according to different minimal clinically important difference (MCID) thresholds.

Lead: Areti Angeliki Veroniki

Affiliates: Sharon E Straus

Dr. Veroniki is a mathematician, holds an MSc in Statistics and Operations Research, and a PhD in Biostatistics and Epidemiology. She is a Scientist at St. Michael’s Hospital, Unity Health Toronto and a co-Convenor of the Cochrane Statistical Methods Group. Her research interests are in optimizing the processes of evidence-based medicine, and in particular, in the statistical modelling for knowledge synthesis, including network meta-analysis.

Research Interests

  • Statistical modelling for standard and network meta-analysis
  • Assessing heterogeneity in meta-analysis
  • Addressing inconsistency in network meta-analysis
  • Modelling treatment dosages and complex interventions in network meta-analysis
  • Incorporating diagnostic test accuracy studies in evidence synthesis

Other Affiliations

Scientist, St. Michael’s Hospital, Unity Health Toronto
Co-convenor, Cochrane Statistical Methods Group


Advanced Evidence Synthesis: Meta-Analysis, Meta-Regression, Network Meta-Analysis Individual Patient Data Meta-Analysis

Course Details