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ORCIDKurt Ulm
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Journal Articles
- 2019
[j7]Bernhard Haller
, Kurt Ulm, Alexander Hapfelmeier:
A Simulation Study Comparing Different Statistical Approaches for the Identification of Predictive Biomarkers. Comput. Math. Methods Medicine 2019: 7037230:1-7037230:15 (2019)- 2014
- [j6]Alexander Hapfelmeier, Kurt Ulm:
Variable selection by Random Forests using data with missing values. Comput. Stat. Data Anal. 80: 129-139 (2014) - [j5]Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm, Carolin Strobl:
A new variable importance measure for random forests with missing data. Stat. Comput. 24(1): 21-34 (2014) - 2013
- [j4]Alexander Hapfelmeier, Kurt Ulm:
A new variable selection approach using Random Forests. Comput. Stat. Data Anal. 60: 50-69 (2013) - 2012
- [j3]Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm:
Recursive partitioning on incomplete data using surrogate decisions and multiple imputation. Comput. Stat. Data Anal. 56(6): 1552-1565 (2012) - 2006
- [j2]Victoria Kehl, Kurt Ulm:
Responder identification in clinical trials with censored data. Comput. Stat. Data Anal. 50(5): 1338-1355 (2006) - 2004
- [j1]Alfred P. Hallstrom, Phyllis K. Stein, Raphael Schneider, Morrison Hodges, Georg Schmidt, Kurt Ulm:
Structural relationships between measures based on heart beat intervals: potential for improved risk assessment. IEEE Trans. Biomed. Eng. 51(8): 1414-1420 (2004)
Conference and Workshop Papers
- 1999
- [c1]Ronald E. Kates, Ursula Berger, Kurt Ulm, Nadia Harbeck, Henner Graeff, Manfred Schmitt:
Performance of neural nets, CART, and Cox models for censored survival data. KES 1999: 309-312
Coauthor Index
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