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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 9 .

Zeitschriftenartikel

Boulesteix, Anne-Laure; Stierle, Veronika; Hapfelmeier, Alexander (2015): Publication Bias in Methodological Computational Research. In: Cancer informatics, Vol. 14: S. 11-19

Hapfelmeier, Alexander; Hothorn, Torsten; Ulm, Kurt; Strobl, Carolin (2014): A New Variable Importance Measure for Random Forests with Missing Data. In: Statistics and Computing, Vol. 24, Nr. 1: S. 21-34

Hapfelmeier, Alexander; Hothorn, Torsten; Ulm, Kurt (2012): Recursive partitioning on incomplete data using surrogate decisions and multiple imputation. In: Computational Statistics & Data Analysis, Vol. 56, Nr. 6: S. 1552-1565

Lehmann-Horn, Klaus; Schleich, Eva; Hertzenberg, Deetje; Hapfelmeier, Alexander; Kuempfel, Tania; Bubnoff, Nikolas von; Hohlfeld, Reinhard; Berthele, Achim; Hemmer, Bernhard; Weber, Martin S.: Anti-CD20 B-cell depletion enhances monocyte reactivity in neuroimmunological disorders. In: Journal of Neuroinflammation 2011, 8:146 [PDF, 490kB]

Paper

Boulesteix, Anne-Laure; Janitza, Silke; Hornung, Roman; Probst, Philipp; Busen, Hannah; Hapfelmeier, Alexander (19. Dezember 2016): Making Complex Prediction Rules Applicable for Readers: Current Practice in Random Forest Literature and Recommendations. Department of Statistics: Technical Reports, Nr. 199 [PDF, 439kB]

Boulesteix, Anne-Laure; Janitza, Silke; Hornung, Roman; Probst, Philipp; Busen, Hannah; Hapfelmeier, Alexander (25. November 2016): Making Complex Prediction Rules Applicable for Readers: Current Practice in Random Forest Literature and Recommendations. Department of Statistics: Technical Reports, Nr. [PDF, 439kB]

Boulesteix, Anne-Laure; Wilson, Rory; Hapfelmeier, Alexander (27. Oktober 2016): Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies. Department of Statistics: Technical Reports, Nr. 198 [PDF, 270kB]

Hapfelmeier, Alexander; Ulm, Kurt (15. Januar 2013): Variable selection with Random Forests for missing data. Department of Statistics: Technical Reports, Nr. 137 [PDF, 563kB]

Hapfelmeier, Alexander; Hothorn, Torsten; Ulm, Kurt (15. Februar 2012): Random Forest variable importance with missing data. Department of Statistics: Technical Reports, Nr. 121 [PDF, 567kB]

Diese Liste wurde am Mon Mar 27 05:56:47 2017 CEST erstellt.