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On the behavior of multiple comparison procedures in complex parametric designs Herberich, Esther. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2012
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Prediction intervals for future BMI values of individual children - a non-parametric approach by quantile boosting Mayr, Andreas. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2012
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Boosting in structured additive models Hofner, Benjamin. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2011
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Bundling classifiers with an application to glaucoma diagnosis Hothorn, Torsten, 2003
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Determination of optimal prediction oriented multivariate latent factor models using loss functions Argaç, Dog̃an. - Dortmund : Universitätsbibliothek Dortmund, 2002
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Autoregressive transitional ordinal model to test for treatment effect in neurological trials with complex endpoints Enthalten in BMC medical research methodology Bd. 16, 8.11.2016, Nr. 1, date:12.2016: 1-13
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Baseline-adjusted proportional odds models for the quantification of treatment effects in trials with ordinal sum score outcomes Enthalten in BMC medical research methodology Bd. 20, 6.5.2020, Nr. 1, date:12.2020: 1-14
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Bias in random forest variable importance measures: Illustrations, sources and a solution Enthalten in BMC bioinformatics Bd. 8, 25.1.2007, Nr. 1, date:12.2007: 1-21
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Correction to: Baseline-adjusted proportional odds models for the quantification of treatment effects in trials with ordinal sum score outcomes Enthalten in BMC medical research methodology Bd. 20, 9.7.2020, Nr. 1, date:12.2020: 1
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