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Refined by: subject: Logistic Regression remove author: Steyerberg, Ewout W remove subject: Humans remove
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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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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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Aggregating published prediction models with individual participant data: a comparison of different approaches
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Aggregating published prediction models with individual participant data: a comparison of different approaches

Statistics In Medicine, 2012 Oct 15, Vol.31(23), pp.2697-2712 [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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Meta-analysis and aggregation of multiple published prediction models.

Statistics in medicine, June 30, 2014, Vol.33(14), pp.2341-2362 [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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