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European Journal of Cancer (Oxford, England : 1990)|April 1, 2006
Survival of non-seminomatous germ cell cancer patients according to the IGCC classification: An update based on meta-analysisMerel R van Dijk, Ewout W Steyerberg, J Dik F Habbema
European Journal of Clinical Investigation|February 14, 2018
Consequences of relying on statistical significance: Some illustrationsBen Van Calster, Ewout W Steyerberg, Gary S Collins, et al.
Diagnostic and Prognostic Research|June 5, 2023
Decision curve analysis: confidence intervals and hypothesis testing for net benefitAndrew J Vickers, Ben Van Claster, Laure Wynants, et al.
BMC Medicine|February 24, 2023
There is no such thing as a validated prediction modelBen Van Calster, Ewout W Steyerberg, Laure Wynants, et al.
BMC Medical Research Methodology|June 20, 2012
The quality of the evidence base for clinical pathway effectiveness: room for improvement in the design of evaluation trialsThomas Rotter, Leigh Kinsman, Erica James, et al.
JPEN. Journal of Parenteral and Enteral Nutrition|September 16, 2003
Clinical relevancy of nonurinary nitrogen excretion in newborns and infants after digestive tract surgeryMarcel J I J Albers, Ewout W Steyerberg, Trinet Rietveld, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|January 22, 2005
Racial differences in surgical evaluation, treatment, and outcome of locoregional esophageal cancer: a population-based analysis of elderly patientsEwout W Steyerberg, Craig C Earle, Bridget A Neville, et al.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|August 31, 2017
Biases in Individualized Cost-effectiveness Analysis: Influence of Choices in Modeling Short-Term, Trial-Based, Mortality Risk Reduction and Post-Trial Life ExpectancyDavid van Klaveren, John B Wong, David M Kent, et al.
Statistics in Medicine|January 31, 2024
Effective sample size: A measure of individual uncertainty in predictionsDoranne Thomassen, Saskia le Cessie, Hans C van Houwelingen, et al.
Scientific Reports|June 6, 2022
Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressurePeter C Austin, Frank E Harrell, Douglas S Lee, et al.
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