Ewout Steyerberg#


Ewout Steyerberg
Membership Number:6071
Membership type:ORDINARY
Section:CLINICAL & VETERINARY SCIENCE
Elected:2022
Main Country of Residence:THE NETHERLANDS
Homepage(s):https://www.universiteitleiden.nl/en/staffmembers/ewout-steyerberg#tab-1
ORCID:0000-0002-7787-0122




Present and Previous Positions
  • 2017 Professor of Clinical Biostatistics and Medical Decision Making, Chair of the Dept of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
  • 2006 - 2021 Professor of Medical Decision Making, Dept of Public Health, Erasmus MC, Rotterdam, The Netherlands
  • 2003, 2005 Visiting professor, Dana-Farber / Harvard Cancer Center, Boston, MA, USA
  • 2002 - 2006 Associate professor, Dept of Public Health, Erasmus MC, Rotterdam
  • 1996 Visiting researcher, Duke Clinical Research Institute, Durham, NC, USA
  • 1991 - 2001 Scientific researcher at the Department of Public Health, Erasmus University Rotterdam, The Netherlands
  • 1990 - 1991 Student-assistant Medical Statistics, Leiden University, The Netherlands

Fields of Scholarship
  • Machine learning approaches to big data
  • Risk calculators for individual patients
  • Prognostic model development and validation
  • Clinical epidemiology
  • Medical decision-making
  • Methods for precision medicine
  • Biostatistics, specifically prediction research

Honours and Awards
  • 2019 Elected member of the Royal Netherlands Academy for Arts and Sciences (KNAW)
  • 2016 John M. Eisenberg Award for Application of Medical Decision Making Research from Soc Medical Decision Making
  • 2015 EU-H2020 grant ‘FORECEE study: new diagnostics for female cancers’, (500 k€)
  • 2015 KWF grant ‘Risk management of contralateral breast cancer: development and validation of an online decision aid for physicians and patients’, (1.1 M€ for 3 PhD students)
  • 2014 EU-FP7 grant ‘CENTER-TBI study: Characterization and comparative effectiveness in traumatic brain injury’, (2.8 M€ for 3 work packages; responsible for methodology in the total 30 M€ project)
  • 2014 National Institute of Health (NIH) grant ‘PRICES: Heterogeneity in treatment effects: evaluation of performance of individualized prediction models’ (400 k$)
  • 2005 Marx Research fellowship from Dana-Farber / Harvard Cancer Center, Boston, MA
  • 1999 Fellowship from the Royal Netherlands Academy for Arts and Sciences
  • 1996 ‘TALENT stipendium’ from the Netherlands Organization for Scientific Research; Duke University, Durham, USA

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