Ewout W. Steyerberg

Ewout W. Steyerberg
Ewout W. Steyerberg
Born (1967-07-26) July 26, 1967
Delft
Nationality Dutch
Alma mater Leiden University
Scientific career
Fields Medicine, Statistics
Institutions Leiden University Medical Center, Erasmus MC

Ewout W. Steyerberg (born July 26, 1967) is a Professor of Clinical Biostatistics and Medical Decision Making at Leiden University Medical Center and a Professor of Medical Decision Making at Erasmus MC.[1][2] He has been chair of the department of Biomedical Data Sciences at Leiden University Medical Center since 2017. He has interest in a wide range of statistical methods for medical research, but is mainly known for his seminal work on prediction modelling, which was stimulated by various research grants including a fellowship from the Royal Netherlands Society for Arts and Sciences (KNAW). Steyerberg is one of the most cited researchers in the Netherlands. He has published over 1000 peer-reviewed articles, many in collaboration with clinical researchers, both in methodological and medical journals. In September 2018, his h-index was 96.[3]

Biography

Steyerberg started his education in medicine at the Medical Faculty Leiden University in 1986. After obtaining his propedeuse, he initiated his education in biomedical sciences at the Medical Faculty Leiden University. In 1991, he received his MSc in Biomedical Sciences cum laude. After obtaining his MSc degree, he started working towards his PhD at the Department of Public Health at the Erasmus MC. His thesis, titled ‘Prognostic Modeling for Clinical Decision Making: Theory and Applications’, was completed in 1996.[4] Subsequently, Steyerberg held a position at Erasmus Medical Centre. He spent sabbaticals at Duke University (Durham, NC: 1996) and Harvard University (Boston, MA: 2003 and 2005). In 2006, he was appointed professor at Erasmus MC, where he has been the chair of Medical Decision Making till the end of 2016. In 2017, Steyerberg was appointed as the Chair of the Department of Medical Statistics and Bioinformatics at Leiden University Medical Center.

Research findings

Steyerberg’s methodological research is mainly focussed on clinical prediction modelling. He has developed and applied advanced regression modelling and related statistical techniques for prediction in many clinical domains. Other areas of interest include design and analysis of randomized clinical trials, cost-effectiveness, decision analysis, and quality of care research, all with the aim to make better decisions in health care. Contemporary research themes have his attention, including Comparative effectiveness research, Big data, Machine learning, Value-based Healthcare and Precision medicine.

Medical fields of application include oncology (e.g. testicular, bladder, prostate, esophageal, colorectal, lymphomas, and hereditary cancers); cardiovascular disease (e.g. acute myocardial infarction, heart valve replacement, limb ischemia, primary and secondary prevention of CVD); internal medicine (e.g. renovascular hypertension, osteoporosis); paediatrics (e.g. triage systems); infectious diseases (e.g. leprosy, chlamydia trachomatis screening); neurology (Guillain Barré syndrome, stroke); and traumatic brain injury (prognosis and efficiency of trial design, comparative effectiveness research).

Achievements

Steyerberg is known for his tremendous contribution to the field of statistical methods for prediction research. Among his most-cited articles are several methodological papers on the development and validation of clinical prediction models.[5][6][7] In 2009, he published his book ‘Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating’.[8][9] The book provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. It has become both a practical guide and reference work for anyone involved in prediction research in medicine.

Steyerberg received a fellowship from the Royal Netherlands Academy for Arts and Sciences and the John M. Eisenberg Award for Practical Application of Medical Decision Making Research by the Society for Medical Decision Making in 2016.

Personal life

Steyerberg currently lives in Rotterdam, in the neighbourhood Hillegersberg, with his wife, Aleida Steyerberg-Sluik, a linguist, and their three children Matthijs, Laurens, and Suzanne. The Steyerberg family owns a Labrador, named Bas. As an amateur-runner, Steyerberg finished three marathons. His personal best, 3:51, was set at the Rotterdam Marathon in 2010. Together with his sons he is interested in cryptocurrency.

References

  1. ↑ "Ewout Steyerberg". Leiden University. Retrieved March 22, 2018.
  2. ↑ "Ewout Steyerberg". Erasmus MC. Retrieved March 22, 2018.
  3. ↑ "Citation report". Web of Science. Retrieved September 5, 2018.
  4. ↑ Steyerberg, Ewout W. "Prognostic Modeling for Clinical Decision Making: Theory and Applications" (PDF). Retrieved March 22, 2018.
  5. ↑ Steyerberg, Ewout W.; Vickers, Andrew J.; Cook, Nancy R. (2010). "Assessing the Performance of Prediction Models A Framework for Traditional and Novel Measures". Epidemiology. 21 (1): 128–138. doi:10.1097/EDE.0b013e3181c30fb2. PMC 3575184.
  6. ↑ Steyerberg, Ewout W.; Harrell, Frank E.; Borsboom, G.J.J.M. (2001). "Internal validation of predictive models: Efficiency of some procedures for logistic regression analysis". Journal of Clinical Epidemiology. 54 (8): 774–781. doi:10.1016/S0895-4356(01)00341-9.
  7. ↑ Steyerberg, Ewout W.; Eijkemans, M.J.C.; Harrell, Frank E. (2000). "Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets". Statistics in Medicine. 19 (8): 1059–1079. doi:10.1002/(SICI)1097-0258(20000430)19:8<1059::AID-SIM412>3.3.CO;2-S.
  8. ↑ Steyerberg, Ewout W. (2009). Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. Springer.
  9. ↑ "Clinical Prediction Models". Ewout W. Steyerberg. Retrieved March 22, 2018.
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