CINeMA: an approach for assessing confidence in the results of a network meta-analysis A Nikolakopoulou, JPT Higgins, T Papakonstantinou, A Chaimani, ...
PLoS medicine 17 (4), e1003082, 2020
755 2020 Cinema: software for semiautomated assessment of the confidence in the results of network meta‐analysis T Papakonstantinou, A Nikolakopoulou, JPT Higgins, M Egger, G Salanti
Campbell Systematic Reviews 16 (1), e1080, 2020
252 2020 netmeta: An r package for network meta-analysis using frequentist methods S Balduzzi, G Rücker, A Nikolakopoulou, T Papakonstantinou, G Salanti, ...
Journal of Statistical Software 106, 1-40, 2023
70 2023 Multicritical points and crossover mediating the strong violation of universality: Wang-Landau determinations in the random-bond Blume-Capel model A Malakis, AN Berker, IA Hadjiagapiou, NG Fytas, T Papakonstantinou
Physical Review E 81 (4), 041113, 2010
63 2010 Universality aspects of the d= 3 random-bond Blume-Capel model A Malakis, AN Berker, NG Fytas, T Papakonstantinou
Physical Review E 85 (6), 061106, 2012
43 2012 Estimating the contribution of studies in network meta-analysis: paths, flows and streams T Papakonstantinou, A Nikolakopoulou, G Rücker, A Chaimani, ...
F1000Research 7, 2018
41 2018 ROB-MEN: a tool to assess risk of bias due to missing evidence in network meta-analysis V Chiocchia, A Nikolakopoulou, JPT Higgins, MJ Page, ...
BMC medicine 19, 1-13, 2021
40 2021 In network meta-analysis, most of the information comes from indirect evidence: empirical study T Papakonstantinou, A Nikolakopoulou, M Egger, G Salanti
Journal of clinical epidemiology 124, 42-49, 2020
27 2020 Do reporting guidelines have an impact? Empirical assessment of changes in reporting before and after the PRISMA extension statement for network meta-analysis AA Veroniki, S Tsokani, S Zevgiti, I Pagkalidou, KM Kontouli, ...
Systematic Reviews 10, 1-12, 2021
23 2021 Critical behavior of the three-dimensional Ising model with anisotropic bond randomness at the ferromagnetic-paramagnetic transition line T Papakonstantinou, A Malakis
Physical Review E 87 (1), 012132, 2013
14 2013 Universality of the Ising and the S= 1 model on Archimedean lattices: A Monte Carlo determination A Malakis, G Gulpinar, Y Karaaslan, T Papakonstantinou, G Aslan
Physical Review E 85 (3), 031146, 2012
12 2012 An efficient way to assess the effect of COVID-19 on mental health in the general population G Salanti, A Cipriani, TA Furukawa, N Peter, T Tonia, T Papakonstantinou, ...
The Lancet Psychiatry 8 (5), e14-e15, 2021
11 2021 Agreement between ranking metrics in network meta-analysis: an empirical study V Chiocchia, A Nikolakopoulou, T Papakonstantinou, M Egger, G Salanti
BMJ open 10 (8), e037744, 2020
11 2020 dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD S Banerjee, GN Sofack, T Papakonstantinou, D Avraam, P Burton, ...
BMC Research Notes 15 (1), 197, 2022
10 2022 Comparative study of selected parallel tempering methods A Malakis, T Papakonstantinou
Physical Review E 88 (1), 013312, 2013
10 2013 Network meta-analysis using frequentist methods. R package version 2.0–1 G Rücker, U Krahn, J König, O Efthimiou, A Davies, T Papakonstantinou, ...
9 2022 A living meta-ecological study of the consequences of the COVID-19 pandemic on mental health S Leucht, A Cipriani, TA Furukawa, N Peter, T Tonia, T Papakonstantinou, ...
European archives of psychiatry and clinical neuroscience 271, 219-221, 2021
8 2021 The statistical importance of a study for a network meta-analysis estimate G Rücker, A Nikolakopoulou, T Papakonstantinou, G Salanti, RD Riley, ...
BMC medical research methodology 20, 1-13, 2020
6 2020 Network meta‐analysis and random walks AL Davies, T Papakonstantinou, A Nikolakopoulou, G Rücker, T Galla
Statistics in Medicine 41 (12), 2091-2114, 2022
5 2022 Package “netmeta”: Network Meta-Analysis Using Frequentist Methods (Version 2.1-0) G Rücker, U Krahn, J König, O Efthimiou, A Davies, T Papakonstantinou
CRAN, 2022
5 2022