Georgios Seitidis, PhD. born in 1991, is a Mathematician by training, and currently a Postdoctoral Research Associate at the Department of Psychology at the University of Ioannina.
Training: Georgios obtained his Bachelor’s degree from the Department of Mathematics at the University of Ioannina (completed in April 2015). After that he enrolled in the MSc in Statistics from the Statistics Department of the Athens University of Economics and Business (completed in May 2017). His Master thesis has the title “Investigation of the methodology for determining the specific parameters storage of insurance companies under SOLVENCY II” and was conducted under the supervision of Prof. Alexandros Zimbidis. Lastly, he completed his PhD thesis with the title “Using variable selection methods in network meta-analysis” at the Department of Primary Education under the supervision of Prof. Dimitris Mavridis.
Research interests: His research interests focus on systematic reviews and statistical modeling for meta-analysis and network meta-analysis. In particular, he is interested in developing statistical models for component network meta-analysis. He also actively develops statistical software based on R, in addition to his theoretical contributions.
- Systematic reviews
- Statistical modeling for meta-analysis
- Statistical modeling for network meta-analysis
- Component network meta-analysis
Professional: Statistical consultant, The European Association of Endoscopic Surgery (EAES)
Selected Publications: Several of his papers have been published in high-impact journals. Among them are:
- Seitidis G., Nikolakopoulos S., Ntzoufras I., Mavridis D. Inconsistency identification in network meta‐analysis via stochastic search variable selection. Statistics in Medicine. 2023.
- Tsokani S, Seitidis G, Mavridis D. Component network meta-analysis in a nutshell. BMJ Evidence Based Medicine. 2022:bmjebm-2021-111906. doi: 10.1136/bmjebm-2021-111906.
- Seitidis G, Nikolakopoulos S, Hennessy EA, Tanner-Smith EE, Mavridis D. Network Meta-Analysis Techniques for Synthesizing Prevention Science Evidence. Prev Sci. 2022 Apr;23(3):415-424. doi: 10.1007/s11121-021-01289-6.