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Harald Binder

Showing results (21-30 of 292) with videos related to

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Statistics in Medicine|October 15, 2013
Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisonsJochem König, Ulrike Krahn, Harald Binder
Statistics in Medicine|January 17, 2020
Recovery of original individual person data (IPD) inferences from empirical IPD summaries only: Applications to distributed computing under disclosure constraintsFederico Bonofiglio, Martin Schumacher, Harald Binder
BMC Medical Research Methodology|April 4, 2021
Deep generative models in DataSHIELDStefan Lenz, Moritz Hess, Harald Binder
Statistics in Medicine|March 10, 2010
A general, prediction error-based criterion for selecting model complexity for high-dimensional survival modelsChristine Porzelius, Martin Schumacher, Harald Binder
BMC Medical Research Methodology|December 17, 2014
Visualizing inconsistency in network meta-analysis by independent path decompositionUlrike Krahn, Harald Binder, Jochem König
BMC Medical Research Methodology|March 19, 2013
A graphical tool for locating inconsistency in network meta-analysesUlrike Krahn, Harald Binder, Jochem König
Statistical Applications in Genetics and Molecular Biology|March 18, 2014
A boosting approach for adapting the sparsity of risk prediction signatures based on different molecular levelsMurat Sariyar, Martin Schumacher, Harald Binder
BMC Bioinformatics|February 28, 2014
Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event dataMurat Sariyar, Isabell Hoffmann, Harald Binder
Plos One|January 14, 2014
Transforming RNA-Seq data to improve the performance of prognostic gene signaturesIsabella Zwiener, Barbara Frisch, Harald Binder
Bioinformatics (Oxford, England)|July 11, 2020
Exploring generative deep learning for omics data using log-linear modelsMoritz Hess, Maren Hackenberg, Harald Binder
Pageof 30

Showing results (21-30 of 292) with videos related to

Sort By:
Pageof 30
Statistics in Medicine|October 15, 2013
Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisonsJochem König, Ulrike Krahn, Harald Binder
Statistics in Medicine|January 17, 2020
Recovery of original individual person data (IPD) inferences from empirical IPD summaries only: Applications to distributed computing under disclosure constraintsFederico Bonofiglio, Martin Schumacher, Harald Binder
BMC Medical Research Methodology|April 4, 2021
Deep generative models in DataSHIELDStefan Lenz, Moritz Hess, Harald Binder
Statistics in Medicine|March 10, 2010
A general, prediction error-based criterion for selecting model complexity for high-dimensional survival modelsChristine Porzelius, Martin Schumacher, Harald Binder
BMC Medical Research Methodology|December 17, 2014
Visualizing inconsistency in network meta-analysis by independent path decompositionUlrike Krahn, Harald Binder, Jochem König
BMC Medical Research Methodology|March 19, 2013
A graphical tool for locating inconsistency in network meta-analysesUlrike Krahn, Harald Binder, Jochem König
Statistical Applications in Genetics and Molecular Biology|March 18, 2014
A boosting approach for adapting the sparsity of risk prediction signatures based on different molecular levelsMurat Sariyar, Martin Schumacher, Harald Binder
BMC Bioinformatics|February 28, 2014
Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event dataMurat Sariyar, Isabell Hoffmann, Harald Binder
Plos One|January 14, 2014
Transforming RNA-Seq data to improve the performance of prognostic gene signaturesIsabella Zwiener, Barbara Frisch, Harald Binder
Bioinformatics (Oxford, England)|July 11, 2020
Exploring generative deep learning for omics data using log-linear modelsMoritz Hess, Maren Hackenberg, Harald Binder
Pageof 30