Evrenoglou T, White IR, Afach S, Mavridis D, Chaimani A. Network meta-analysis of rare events using penalized likelihood regression. Statistics in Medicine 2022. Full text

Charitakis E, Metelli S, Karlsson LO, Antoniadis AP, Rizas K, Liuba I, Almroth H, Jönsson AH, Schweiler J, Tsartsalis D, Sideris S, Dragioti E, Fragakis N, Chaimani A. Comparing efficacy and safety in catheter ablation strategies for atrial fibrillation: a network meta-analysis of randomized controlled trials. BMC Medicine 2022; 20(1):1-13. Full text

Davidson M, Menon S, Chaimani A, Evrenoglou T, Ghosn L, Grana C, et al. Interleukin‐1 blocking agents for treating COVID‐19. Cochrane Database of Systematic Reviews 2022;1(1):CD015308. Full text

Bouvier FB, Chaimani A, Gueyffier F, Grenet G, Porcher R. Estimating individualized treatment effects using individual participant data meta-analysis. HAL Open Science 2022. Full text

Guelimi R, Metelli S, Sbidian E, van Zuuren EJ, Flohr C, Leonardi-Bee J, Le Cleach L. Network meta-analysis: methodological points for readers, authors and reviewers. British Journal of Dermatology 2022;186(6):917-918. Full text


Metelli S, Mavridis D, Créquit P, Chaimani A. Bayesian model-based outlier detection in network meta-analysis. arXiv: 2109.06559, 2021. Full text

Evrenoglou T, White IR, Afach S, Mavridis D, Chaimani A. Network metaanalysis of rare events using penalized likelihood regression. arXiv:2109.10221, 2021. Full text

Guelimi R, Metelli S, Sbidian E, van Zuuren EJ, Flohr C, Leonardi-Bee J, Le Cleach L. Network meta-analysis: methodological points for readers, authors and reviewers. British Journal of Dermatology. [to appear]

Evrenoglou T, Boutron I, Chaimani A. metaCOVID: An RShiny application for living metaanalyses of COVID19 trials. medRxiv 2021. Full text

Chaimani A, Porcher R, Sbidian E, Mavridis D. A Markov Chain approach for ranking treatments in network metaanalysis. Statistics in Medicine 2021; 40(2):451464. Full text

Ghosn L, Chaimani A, Evrenoglou T, Davidson M, Graña C, Schmucker C, et al. Interleukin‐6 blocking agents for treating COVID‐19: a living systematic review. Cochrane Database of Systematic Reviews 2021. Full text

Veroniki AA, Tsokani S, Zevgiti S, Pagkalidou I, Kontouli KM, Ambarcioglu P, et al. Do reporting guidelines have an impact? Empirical assessment of changes in reporting before and after the PRISMA extension statement for network metaanalysis. Systematic Reviews 2021; 10:246. Full text

Nikolakopoulou A, Chaimani A. More than words: Novel visualizations for evidence synthesis. Research Synthesis Methods 2021; 12(1):23. Full text

Luo Y, Ostinelli EG, Sahker E, Chaimani A, Kataoka Y, Ogawa Y, et al. Antidepressant prescriptions have not fully reflected evolving evidence from cumulative network metaanalyses and guideline recommendations. Journal of Clinical Epidemiology 2021;133:14-23. Full text

Afach S, Chaimani A, Evrenoglou T, Penso L, Brouste E, Sbidian E, Le Cleach L. Metaanalysis results do not reflect the real safety of biologics in psoriasis. British Journal of Dermatology 2021;184(3):415-424. Full text

Afach S, Evrenoglou T, Oubaya N, Le Cleach L, Sbidian E. Most randomized controlled trials for psoriasis used placebo comparators despite the availability of effective treatments. Journal of Clinical Epidemiology 2021; 133:72-79. Full text


Metelli S, Chaimani A. Challenges in meta-analyses with observational studies. Evidence-Based Mental Health, 23 (2), 83-87, 2020. Full text

Boutron I, Chaimani A, Meerpohl JJ, Hrobjartsson A, Devane D, Rada G, et al. The COVIDNMA Project: Building an Evidence Ecosystem for the COVID19 Pandemic. Annals of Internal Medicine 2020; 173(12):10151017. Full text

Nikolakopoulou A, Higgins JPT, Papakonstantinou T, Chaimani A, Del Giovane C, Egger M, Salanti G. CINeMA: an approach for assessing confidence in the results of a network metaanalysis. Plos Medicine 2020; 17(4):e1003082. Full text

Kataoka Y, Luo Y, Chaimani A, Onishi A, Kimachi M, Tsujimoto Y, et al. Cumulative network metaanalyses, practice guidelines, and actual prescriptions for postmenopausal osteoporosis: a metaepidemiological study. Archives of Osteoporosis 2020; 15(1):110. Full text

Chaimani A. Conduct and reporting of individual participant data network metaanalyses need improvement. BMC Medicine 2020; 18(1):12. Full text

Sbidian E, Chaimani A, Afach S, Doney L, Dressler C, Hua C, et al. Systemic pharmacological treatments for chronic plaque psoriasis: a network meta‐analysis. Cochrane Database of Systematic Reviews 2020. Full text


Vo TT, Porcher R, Chaimani A, Vansteelandt S. A novel approach for identifying and addressing casemix heterogeneity in individual participant data metaanalysis. Research Synthesis Methods 2019; 10:582596. Full text

Metelli S, Heard NA. On Bayesian New Edge Prediction and Anomaly Detection in Computer Networks. The Annals of Applied Statistics, 13 (4), 2586-2610, 2019.

Leucht S*, Chaimani A*, Mavridis D, Leucht C, Huhn M, Helfer B, Samara M, Cipriani A, Geddes JR, Davis JM. Where do drugresponse and placeboresponse disconnect in acute phase antipsychotic drug trials in schizophrenia? Metaregression analysis. Neuropsychopharmacology 2019; 44(11):19551966. Full text

Claudiani S, Metelli S, Kamvar R, Szydlo R, Byrne J, Gallipoli P, Bulley, Horne GA, Rothwell, Copland M, Clark RE, Khorashad JS, Foroni L, Milojkovic D, Apperley JF. Introducing a Predictive Score for Successful Treatment Free Remission in Chronic Myeloid Leukemia (CML). Blood, 134, 26, 2019.


Chaimani A, Mavridis D, Higgins JPT, Salanti G, White I. Allowing for informative missingness in aggregate data metaanalysis with continuous or binary outcomes: extensions to metamiss. The Stata Journal 2018; 18(3): 716740. Full text

Schwingshackl L, Buyken A, Chaimani A. Network meta-analysis reaches nutrition research. European Journal of Nutrition 2018; 13. Full text

Mavridis D, Salanti G, Furukawa TA, Cipriani A, Chaimani A, White IR. Allowing for uncertainty due to missing and LOCF imputed outcomes in metaanalysis. Statistics in Medicine 2018; 38(5): 720737. Full text

Cipriani A*, Furukawa TA*, Salanti G*, Chaimani A, Atkinson LZ, Ogawa Y, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network metaanalysis. The Lancet 2018; 391:13571366. Full text

Salanti G, Chaimani A, Furukawa TA, Higgins J, Ogawa Y, Cipriani A, Egger M. Impact of placebo arms on outcomes in antidepressant trials: systematic review and metaregression analysis. International Journal of Epidemiology 2018; 47(5):14541464. Full text

Schwingshackl L, Chaimani A, Hoffman G, Schwedhelm C, Boeing H. A network metaanalysis on the comparative efficacy of different dietary approaches on glycaemic control in patients with type 2 diabetes mellitus. European Journal of Epidemiology 2018; 1:14. Full text

Papakonstantinou T, Nikolakopoulou A, Rucker G, Chaimani A, Schwarzer G, Egger M, Salanti G. Estimating the contribution of studies in network meta-analysis: paths, flows and streams. F1000Research 2018; 7. Full text


Chaimani A, Caldwell DM, Li T, Higgins JPT, Salanti G. Additional considerations are required when preparing a protocol for a systematic review with multiple interventions. Journal of Clinical Epidemiology 2017; 83:6574. Full text

Chaimani A, Salanti G, Leucht S, Geddes JR, Cipriani A. Common pitfalls and mistakes in the set up, analysis and interpretation of results in network metaanalysis: what clinicians should look for in a published article. EvidenceBased Mental Health 2017; 20(3):8894. Full text

Schwingshackl L, Boeing H, StelmachMardas M, Gottschald M, Dietrich S, Hoffmann G, Chaimani A. Dietary supplements and risk of causespecific death, cardiovascular disease, and cancer: a systematic review and metaanalysis of primary prevention trials. Advances in Nutrition 2017; 8(1):2739. Full text

Créquit P, Chaimani A, Yavchitz A, Attiche N, Cadranel J, Trinquart L, Ravaud P. Comparative efficacy and safety of secondline treatments for advanced nonsmall cell lung cancer with wildtype or unknown status for epidermal growth factor receptor: a systematic review and network
metaanalysis. BMC Medicine 2017; 15(1): 193. Full text

Brunoni AR, Chaimani A, Moffa AH, Gattaz WF, Daskalakis ZJ, Carvalho AF. Repetitive transcranial magnetic stimulation for the acute treatment of major depressive episodes: a network metaanalysis. JAMA Psychiatry 2017; 74(2):143152. Full text

Leucht S, Leucht C, Huhn M, Chaimani A, Mavridis D, Helfer B, et al. Sixty years of placebocontrolled antipsychotic drug trials in acute schizophrenia: systematic review, Bayesian metaanalysis and metaregression of efficacy predictors. American Journal of Psychiatry 2017; 174(10):927942. Full text

Petropoulou M, Nikolakopoulou A, Veroniki AA, Rios P, Vafaei A, Zarin W, Giannatsi M, Sullivan S, Tricco AC, Chaimani A, Egger M, Salanti G. Bibiographic study showed improving statistical methodology of network metaanalyses published between 1999 and 2015. Journal of Clinical Epidemiology 2017; 82:2828. Full text

Zarin W, Veroniki AA, Nincic V, Vafaei A, Reynen E, Motiwala SS, Antony J, Sullivan SM, Rios P, Daly C, Ewusie J, Petropoulou M, Nikolakopoulou A, Chaimani A, Salanti G, Straus SE, Tricco A. Characteristics and knowledge synthesis approach for 456 network metaanalyses: a scoping review. BMC Medicine 2017; 15(1):3. Full text


Metelli S, Heard NA. Model-based clustering and new edge modelling in large computer networks. Proceedings of the IEEE Intelligence and Security Informatics Conference (ISI), 91-96, 2016.

Rouse B, Chaimani A, Li T. Network metaanalysis: An introduction for clinicians. Internal and Emergence Medicine 2016; 12(1):103111. Full text

Furukawa TA, Miura T, Chaimani A, Leucht S, Cipriani A, Noma H, Mitsuyasu H, Kanba S, Salanti G. Using the contribution matrix to evaluate complex study limitations in a network meta-analysis: a case study of bipolar maintenance pharmacotherapy review. BMC Research Notes 2016,9: 218. Full text