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Validation and updating of predictive logistic regression models: a study on sample size and shrinkage
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Validation and updating of predictive logistic regression models: a study on sample size and shrinkage

Statistics In Medicine, 2004 Aug 30, Vol.23(16), pp.2567-2586 [Peer Reviewed Journal]

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Regression discontinuity was a valid design for dichotomous outcomes in three randomized trials

Journal of Clinical Epidemiology, June 2018, Vol.98, pp.70-79 [Peer Reviewed Journal]

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Internal and external validation of predictive models: A simulation study of bias and precision in small samples

Journal of Clinical Epidemiology, 2003, Vol.56(5), pp.441-447 [Peer Reviewed Journal]

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Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers.

Statistics in medicine, February 10, 2014, Vol.33(3), pp.517-535 [Peer Reviewed Journal]

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A closed testing procedure to select an appropriate method for updating prediction models.

Statistics in medicine, December 10, 2017, Vol.36(28), pp.4529-4539 [Peer Reviewed Journal]

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Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression models

Statistics in Medicine, 2013, Vol.32(4), p.661-672 [Peer Reviewed Journal]

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A new concordance measure for risk prediction models in external validation settings
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A new concordance measure for risk prediction models in external validation settings

Statistics In Medicine, 2016 Oct 15, Vol.35(23), pp.4136-4152 [Peer Reviewed Journal]

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Interpreting the concordance statistic of a logistic regression model: Relation to the variance and odds ratio of a continuous explanatory variable

BMC Medical Research Methodology, 2012, Vol.12 [Peer Reviewed Journal]

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Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models

Statistical Methods in Medical Research, Apr 2017, Vol.26(2), pp.796-808 [Peer Reviewed Journal]

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Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements

Journal of Clinical Epidemiology, 2004, Vol.57(5), pp.454-460 [Peer Reviewed Journal]

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by this Author/Contributor:

  1. Steyerberg, Ew
  2. Steyerberg, Ewout W.
  3. Steyerberg, E.W.
  4. Steyerberg, Ewout
  5. Austin, Peter C

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