Maria Petropoulou
Research Associate
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mpetrop@cc.uoi.gr
Maria Petropoulou is a Ph.D. Candidate and Research Associate in the Department of Primary Education in the University of Ioannina. She is a mathematician and she holds a Master’s degree in Statistics and Operational Research from the Department of Mathematics in the University of Ioannina. She started her research in June 2015 when she worked as research associate in the field of network meta-analysis at the Department of Hygiene and Epidemiology in School of Medicine in the University of Ioannina. Her research interests focus on developing methodologies for evidence synthesis methods. She is interested in heterogeneity, outlier detection methods, models with complex interventions and network meta-analysis. She is also interested in statistical programming of the developed methodologies.
Maria Petropoulou is a mathematician and she also holds her Master Statistics and Operational Research at the Department of Mathematics in the University of Ioannina. She started her research in Biostatistics and Epidemiology on June 2015 when she worked in the field of network meta-analysis at the Department of Hygiene and Epidemiology in School of Medicine in the University of Ioannina. She is currently at the end of the third year of her Ph.D. with her thesis titled ‘Exploring methodological challenges in meta-analysis models and developing methodology for outlier detection methods’ funded by the General Secretariat for Research and Technology and the Hellenic Foundation for Research and Innovation scholarship. She is also currently a Research Associate associate working on the European Union’s Horizon 2020 research program (Optimising Therapy to prevent avoidable hospital admissions in the multimorbid elderly, OPERAM).
Research Interests
Maria Petropoulou’s interests focus on evidence synthesis methods in Evidence-based Medicine. Her research interests focus on developing methodological aspects on network meta-analysis. She is interested on heterogeneity in meta-analysis, developing models that address the effects of multicomponent interventions or interventions with different doses in meta-analytical models and outlier detection methodologies. She is also interested in statistical programming of the developed methodologies.
Research Key words
- Evidence synthesis
- Network meta-analysis
- Complex interventions
- Outliers
- Heterogeneity
- Statistical programming
- Rücker G, Petropoulou M, Schwarzer G. Network meta‐analysis of multicomponent interventions. Biometrical journal. 2019
- Petropoulou M, Salanti G, Rücker G, Schwarzer G, Moustaki E, Mavridis D. A forward search algorithm for detection extreme study effects in network meta-analysis. 25th Cochrane Colloquium, September 2018, Edinburgh.
- Petropoulou M, Efthimiou O, Salanti G, Mavridis D. Evaluating the effects of complex interventions via meta-analytical models: a methodological review. 64. Biometrisches Kolloquium, 25-28 March 2018, Frankfurt.
- Petropoulou M, Mavridis D. A comparison of 20 heterogeneity variance estimators in statistical synthesis of results from studies: A simulation study. Statistics in Medicine 2017;36 (27):4266-4280.
- Petropoulou Μ, Nikolakopoulou Α, Veroniki ΑΑ, Rios P, Vafaei A, Giannatsi M, Sullivan S, Tricco A, Chaimani A, Egger M, Salanti G. Bibliographic study showed improving statistical methodology of network meta-analyses published between 1999 and 2015. Journal of Clinical Epidemiology 2017; 82:20-28.
- Zarin W, Veroniki AA, Nincic V, Vafaei A, Reynen E, Motiwala S, Antony J, Sullivan S, Daly C,Ewusie J, Rios P, Petropoulou M, Nikolakopoulou A, Chaimani A, Salanti G, Straus SE, Tricco AC. Characteristics and knowledge synthesis approach for 456 network meta-analyses: A scoping review. BMC Medicine 2017;15(1):3.
- Terkawi A, Mavridis D, Sessler D, Nunemaker M, Doais K, Terkawi R, Terkawi Y, Petropoulou M, Nemergut E. Pain management modalities after total knee arthroplasty: A network meta-analysis of 170 randomized controlled trials. Anesthesiology: The Journal of the American Society of Anesthesiologists 2017;126(5): 923-937.