Sofia Cividini

Ms. Sofia Cividini

Epidemiology and Biostatistics, Imperial College London, London, City of London, UK
orcid
External consultant in Biostatistics

Biography

I am a molecular biologist (MSciBiol) specializing in Biostatistics and Experimental Statistics (MD), Medical Statistics (MSc), and Bioinformatics (MSc) with extensive experience in data analysis. My research interest mainly focuses on studying molecular mechanisms and risk factors behind the onset and development of complex diseases by using advanced statistical and computational methodologies to obtain information from data. I am particularly interested in meta-analyses and network meta-analyses of individual participant data from randomised clinical trials (Bayesian and frequentist approach), systematic reviews and meta-analyses of observational studies, and umbrella reviews. I enjoy data management and analysis, and I love advanced statistical modeling in all its more complex aspects. Animal behavior and communication is my second research interest, mainly developed for a personal interest. I have a sound knowledge of the most updated analysis techniques used in Statistics and Data Science and an excellent capability to analyse data with different levels of complexity from various research fields. Since April 2022, I have become a member of the Cochrane Collaboration. I am a reviewer for several journals (medical and zoological).

Affiliations

Imperial College London

London, City of London, UK

Epidemiology and Biostatistics

Honors and Awards

honor

SAS University Challenge

SAS Institute Srl (Milan)

My thesis research project titled “Antihypertensive treatment and risk of cancer: a meta-analysis” participated in the competition “SAS University Challenge” sponsored by SAS Institute Srl (Milan) and was awarded a SAS course in Analytics Advanced (ST293, €1700).

honor

Grant reference: 16/110/16

NIHR HTA Clinical Trials & Evaluation

EstablishINg the best STEp-up treatments for children with uncontrolled asthma despite INhaled corticosteroids (EINSTEIN): A systematic review, network meta-analysis and cost effectiveness analysis using individual participant data. Principal investigators: Catrin Tudur Smith. Co-investigators: Sarah Donegan, Ian Sinha, Olivia Fulton, Sofia Cividini, Dyfrig Hughes, Steve Turner.

Experience

No experience has been shared yet.