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Anna Chaimani

Associate Professor - Department of Biostatistics
Image of Anna Chaimani
Mobile phone +47 48441492
Room 2175A
Username
Visiting address Sognsvannsveien 9 Domus Medica 0372 Oslo
Postal address Postboks 1122 Blindern 0317 Oslo
Full CV here
Google Scholar: https://scholar.google.com/citations?hl=en&user=6_tyhP8AAAAJ
Linkedin: https://www.linkedin.com/in/anna-chaimani-1abba763/

Academic Interests

  • comparative effectiveness research
  • network meta-analysis
  • synthesis of complex interventions
  • living systematic reviews
  • combination of heterogeneous data
  • knowledge translation and visualization tools

Professional Experience

  • 2024 - present : Associate Professor - Oslo Center for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo
  • 2020 - 2025 : Evidence Synthesis Research Group Leader - Center of Research in Epidemiology and Statistics (CRESS-U1153), METHODS Team, France
  • 2020 - 2025 : Senior Researcher - National Institute of Health and Medical Research (Inserm), Université Paris Cité, France
  • 2016 - 2019 : Assistant Professor - Faculty of Medicine, Paris Descartes University, France
  • 04/2016 - 06/2016 : Visiting Researcher - Institute of Social and Preventive Medicine, University of Bern, Switzerland
  • 2014 - 2016 : Postdoctoral Research Associate in Biostatistics - Department of Hygiene & Epidemiology, University of Ioannina School of Medicine, Greece
  • 06/2014 : Visiting Researcher - School of Social and Community Medicine, University of Bristol, UK
  • 2010 - 2014 : Research Associate in Biostatistics - Department of Hygiene & Epidemiology, University of Ioannina School of Medicine, Greece
  • 01/2009 - 12/2009 : Research Assistant in Biostatistics - Harokopion University, Athens, Greece

Supervised PhD Theses

  • Tianqi Yu, Paris Cité University, France, defended in April 2026, “Scalable knowledge translation tools for network meta-analysis” (link)
  • Kanella Panagiotopoulou, Paris Cité University, France, defended in November 2025, “Modelling departures from normality in meta-analysis” (link)
  • Chérifa Cheurfa, Paris Cité University, France, defended in December 2023, “The contribution of observational studies to meta-analysis” (in French)
  • Theodoros Evrenoglou, Paris Cité University, France, defended in November 2022, “Dealing with sparse data in network meta-analysis” (link)

Publications

Selected publications

Panagiotopoulou K, Evrenoglou T, Schmid CH, Metelli S, Chaimani A . Meta-analysis models relaxing the random effects normality assumption: methodological systematic review and simulation study. BMC Med Res Methodol 2025 (link)

Evrenoglou T, Metelli S, Schneider-Thoma J, Siafis S, Turner R, Leucht S, Chaimani A . Sharing information across patient subgroups to draw conclusions from sparse treatment networks. Biom J 2024 (link)

Bouvier F, Chaimani A , Peyrot E, Gueyffier F, Grenet G, Porcher R. Estimating individualized treatment effects using an individual participant data meta-analysis. BMC Med Res Methodol 2024 (link)

Metelli S, Mavridis D, Créquit P, Chaimani A . Bayesian model-based outlier detection in network meta-analysis. J Royal Stat Soc A 2023 (link)

Leucht S*, Chaimani A *, Krause M, Schneider-Thoma J, Wang D, Dong S, et al. The response of subgroups of patients with schizophrenia to different antipsychotic drugs: a systematic review and meta-analysis. Lancet Psych 2022 [*joint first authors] (link)

Evrenoglou T, White IR, Afach S, Mavridis D, Chaimani A . Network meta-analysis of rare events using penalized likelihood regression. Stat Med 2022 (link)

Chaimani A , Porcher R, Sbidian E, Mavridis D. A Markov Chain approach for ranking treatments in network meta-analysis. Stat Med 2021 (link)

Boutron I, Chaimani A , Meerpohl JJ, Hrobjartsson A, Devane D, Rada G, et al. The COVID-NMA Project: Building an Evidence Ecosystem for the COVID-19 Pandemic. Ann Int Med 2020 (link)

Vo TT, Porcher R, Chaimani A , Vansteelandt S. A novel approach for identifying and addressing case-mix heterogeneity in individual participant data meta-analysis. Res Synth Meth 2019 (link)

Chaimani A , Mavridis D, Higgins JPT, Salanti G, White I. Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: extensions to metamiss. Stata J 2018 (link)

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 meta-analysis. Lancet 2018 (link)

Hutton B, Salanti G, Caldwell DM, Chaimani A , Schmid CH, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of healthcare interventions: checklist and explanations. Ann Int Med 2015 (link)

Chaimani A , Vasiliadis HS, Pandis N, Schmid CH, Welton NJ, Salanti G. Effects of study precision and risk of bias in networks of interventions: a network meta-epidemiological study. Int J Epidemiol 2013 (link)

Chaimani A , Higgins JPT, Mavridis D, Spyridonos P, Salanti G. Graphical tools for network meta-analysis in STATA. Plos One 2013 (link)

Chaimani A , Salanti G. Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Res Synth Meth 2012 (link)

Published Aug. 18, 2025 2:18 PM - Last modified July 6, 2026 3:35 PM