T
Theodoros Papakonstantinou
Researcher at University of Bern
Publications - 31
Citations - 871
Theodoros Papakonstantinou is an academic researcher from University of Bern. The author has contributed to research in topics: Ising model & Medicine. The author has an hindex of 8, co-authored 25 publications receiving 398 citations. Previous affiliations of Theodoros Papakonstantinou include National and Kapodistrian University of Athens.
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CINeMA: An approach for assessing confidence in the results of a network meta-analysis.
Adriani Nikolakopoulou,Julian P T Higgins,Theodoros Papakonstantinou,Anna Chaimani,Anna Chaimani,Cinzia Del Giovane,Matthias Egger,Georgia Salanti +7 more
TL;DR: A methodological framework to evaluate confidence in the results from network meta-analyses, Confidence in Network Meta-Analysis (CINeMA), when multiple interventions are compared is presented, which improves transparency and avoids the selective use of evidence when forming judgments, thus limiting subjectivity in the process.
Journal ArticleDOI
CINeMA: Software for semiautomated assessment of the confidence in the results of network meta-analysis
Theodoros Papakonstantinou,Adriani Nikolakopoulou,Julian P.T. Higgins,Matthias Egger,Georgia Salanti +4 more
TL;DR: The user‐friendly web‐based CINeMA platform provides a transparent framework to evaluate evidence from systematic reviews with multiple interventions and can be placed in the results of NMA.
Journal ArticleDOI
Multicritical points and crossover mediating the strong violation of universality: Wang-Landau determinations in the random-bond d=2 Blume-Capel model
Anastasios Malakis,A. Nihat Berker,A. Nihat Berker,I. A. Hadjiagapiou,Nikolaos G. Fytas,Theodoros Papakonstantinou +5 more
TL;DR: The effects of bond randomness on the phase diagram and critical behavior of the square lattice ferromagnetic Blume-Capel model are discussed and the range of universality between the pure and random-bond models is estimated.
Posted ContentDOI
Assessing Confidence in the Results of Network Meta-Analysis (Cinema)
Adriani Nikolakopoulou,Julian P T Higgins,Theodoros Papakonstantinou,Anna Chaimani,Anna Chaimani,Anna Chaimani,Del Giovane C,Matthias Egger,Georgia Salanti +8 more
TL;DR: It is shown that CINeMA improves transparency and avoids the selective use of evidence when forming judgements, thus limiting subjectivity in the process and is easy to apply even in large and complicated networks, like a network involving 18 different antidepressant drugs.
Journal ArticleDOI
Universality aspects of the d = 3 random-bond Blume-Capel model.
TL;DR: In this article, the effects of bond randomness on the universality aspects of the simple cubic lattice ferromagnetic Blume-Capel model are discussed numerically in both first and second-order phase transition regimes by a comprehensive finite-size scaling analysis.