Kanella Panagiotopoulou


Kanella Panagiotopoulou

As a PhD candidate at Université Paris Cité, I specialize in evidence synthesis with a focus on meta-analysis and network meta-analysis. My PhD thesis focuses on exploring alternative distributions for the random effects models in meta-analysis and network meta-analysis, and relaxing the traditional between-study normality assumption. A key aspect of my work is the development of a user-friendly software, utilizing the R programming language, to allow for the implementation of flexible random effects models.

My CV can be found here.

Research interests

  • Meta-analysis

  • Network meta-analysis

  • Relaxing the between study normality assumption

Key publications

  • McCann P, Abraham AG, Mukhopadhyay A, Panagiotopoulou K., Chen H., Rittiphairoij T., Gregory D.G., Hauswirth S.G., Ifantides C., Qureshi R., Su-hsun Liu, Saldanha, I.J. Tianjing. Prevalence and Incidence of Dry Eye and Meibomian Gland Dysfunction in the United States: A Systematic Review and Meta-analysis. JAMA Ophthalmol. 2022;140(12):1181–1192.