Ewout Steyerberg

Department of Public Health, AE 236, Eramus MC, Netherlands

Associations:
Society for Medical Decision Making (MDM)
International Society for Clinical Biostatistics (ISCB)
Netherlands Epidemiological Society

Research interests:
Ewout Steyerberg works at the Dept of Public Health, Erasmus MC, Rotterdam, the Netherlands. His research has covered a broad range of methodologic and medical topics. Methodological expertise is in the design and analysis of randomized controlled trials, cost-effectiveness analysis, and decision analysis. His methodological research focuses on the development, validation and updating of prognostic models.

Medical fields of application include oncology (e.g. esophageal cancer, testicular cancer, bladder cancer, colorectal cancer, hereditary nonpolyposis colon cancer (HNPCC)); cardiovascular disease (e.g. acute myocardial infarction, heart valve replacement, limb ischemia, possibilities for primary and secondary prevention); internal medicine (e.g. renovascular hypertension); traumatic brain injury (efficiency of trial design); pediatrics (e.g. RSV prevention); and infectious diseases (leprosy, chlamydia trachomatis screening).

Any competing interests declared are displayed with individual evaluations.

Faculty Member: Research Methodology > Methods of Clinical Decision-Making (since 11 November 2005)

Links

http://www2.eur.nl/fgg/mgz

All recent recommendations

• 6.4
  The effect of anemia and blood transfusions on mortality in closed head injury patients.
  Recommended by Donald Marion, Ewout Steyerberg with Andrew Maas
  
• 3.0
  Bootstrap model selection had similar performance for selecting authentic and noise variables compared to backward variable elimination: a simulation study.
  Recommended by Ewout Steyerberg
  
• 3.0
  Assessment of survival prediction models based on microarray data.
  Recommended by Ewout Steyerberg
  
• 6.0
  Incorporating quality of evidence into decision analytic modeling.
  Recommended by Dawn Craig
  Dissent by Ewout Steyerberg
• 3.0
  Decision curve analysis: a novel method for evaluating prediction models.
  Recommended by Ewout Steyerberg
  
• 6.0
  Translating clinical research into clinical practice: impact of using prediction rules to make decisions.
  Recommended by Ewout Steyerberg