Anna Chaimani

I am a Research Scientist at the Institute of Health and Medical Research (Inserm) in Paris, France, and I am one of the leaders of the evidence synthesis team of the Research Center in Epidemiology and Statistics (CRESS). I am also a co-convenor of the Cochrane Statistical Methods group and of the Cochrane Comparing Multiple Interventions Methods group. I have extensive experience in the field of evidence synthesis with a greater focus on network meta-analysis. Currently I work on the development of new methods about ranking interventions, network meta-analysis of rare events and outlier detection in networks of interventions.

Software : Stata packages for pairwise and network meta-analysis

Orcid number : 0000-0003-2828-6832

Google Scholar: https://scholar.google.gr/citations?user=6_tyhP8AAAAJ&hl=en

Web of Science: https://publons.com/researcher/533051/anna-chaimani/

Full CV

Research interests

  • Statistical methods for pairwise and network meta-analysis

  • Incorporating observational data in evidence synthesis

  • Modelling of complex interventions using network meta-analysis

  • Addressing missing outcome data in meta-analysis

Best publications

  • Chaimani A, Porcher R, Sbidian E, Mavridis D. A Markov Chain approach for ranking treatments in network meta-analysis. Statistics in Medicine 2021, 40(2):451-464

  • 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. The Stata Journal 2018; 18(3): 716-740

  • 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; 83:65-74

  • Chaimani A, Higgins JPT, Mavridis D, Spyridonos P, Salanti G. Graphical tools for network meta-analysis in STATA. Plos One 2013, 8(10):e76654

  • Chaimani A, Salanti G. Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Research Synthesis Methods 2012, 3(2):161-176

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