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Research Synthesis Methods|June 10, 2015
Meta-analysis of a binary outcome using individual participant data and aggregate dataRichard D Riley, Ewout W SteyerbergJournal of Clinical Epidemiology|August 1, 2018
Validation in prediction research: the waste by data splittingEwout W SteyerbergEuropean Heart Journal|June 6, 2014
Towards better clinical prediction models: seven steps for development and an ABCD for validationEwout W Steyerberg, Yvonne VergouweEuropean Journal of Clinical Investigation|April 14, 2020
Redefining significance and reproducibility for medical research: A plea for higher P-value thresholds for diagnostic and prognostic modelsEwout W Steyerberg, Ben Van CalsterStatistics in Medicine|September 11, 2012
Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression modelsPeter C Austin, Ewout W SteyerbergJournal of Clinical Epidemiology|February 24, 2015
The number of subjects per variable required in linear regression analysesPeter C Austin, Ewout W SteyerbergStatistical Methods in Medical Research|November 21, 2014
Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression modelsPeter C Austin, Ewout W SteyerbergBMC Medical Research Methodology|June 22, 2012
Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variablePeter C Austin, Ewout W SteyerbergStatistics in Medicine|September 5, 2013
Graphical assessment of internal and external calibration of logistic regression models by using loess smoothersPeter C Austin, Ewout W SteyerbergStatistics in Medicine|July 5, 2019
The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression modelsPeter C Austin, Ewout W SteyerbergPageof 111