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
