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Real-world Evidence Team´s Profile image

Real-world Evidence Team

Research group
01.08.2015 -
School of Pharmacy, Faculty of Health Sciences
Information People Publications
Introducing image of the groupReal-world Evidence Team

Those of us who were on campus in April 2024 Standing: Eeva Pylkkö, Isabell Rumrich, Anne Paakinaho, Marjaana Koponen, Thuan Vo. Sitting: Barkat Ali Babar, Anna-Maija Tolppanen, Blair Rajamaki, Heli Järvinen

We develop, validate and implement methods and approaches for evaluating effectiveness and safety of treatments by using real-world data, and also work on risk factors for conditions with long onset period.

The applied data ranges from national register-based studies to multi- and single-centre studies using data from electronic medical records and medical reports as well as data collected specifically for research purposes. We work with native data and data converted to different common data models.

The applied methods range from traditional statistical methods to machine learning. We work in close collaboration with clinicians and have extensive collaboration network, both nationally (e.g., VTT, THL, University of Turku and University of Oulu) and internationally (e.g., Hong Kong University, Monash University, London School of Economics and Political Science, Aarhus University, Karolinska Institutet).

Cooperation

  • We belong to several international research and expertise networks. These include the Nordic Pharmacoepidemiology Network (NORPEN) and the European Network of Centres for Pharmacoepidemiology & Pharmacovigilance (ENCePP). SIGMA Consortium of ENCePP research centres aims to provide trusted pharmacoepidemiologic and real-world evidence research through a European federated professional network of excellence. We are also a collaborator in EU pharmacoepidemiology and pharmacovigiliance research network (EU PE&PV) coordinated by the Division of Pharmacoepidemiology & Clinical Pharmacology at the Utrecht University.

Keywords

big data biostatistics data analysis data integration electronic health records epidemiology machine learning neurodegenerative diseases pharmacoepidemiology real-world data register-based studies

Professors

Senior Researchers

Post-doctoral Researchers

Doctoral Researchers

Other group members

  • Heli Järvinen, PhD student

Publications

159 items