Diplom-Statistiker (Univ.) Benjamin Hofner
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Wissenschaftlicher Mitarbeiter am
Institut für Medizininformatik, Biometrie
und Epidemiologie (IMBE), Erlangen
Mitarbeiter im DFG-Projekt
Ensemble-Methoden zur Verbesserung von Modellen für
Regressionsprobleme mit stetigen und zensierten Zielgrößen
News
Major Update: mboost -- Model-Based Boosting (2.0-x series),
R package version 2.0-4 now available on
CRAN
(Torsten Hothorn, Peter Bühlmann, Thomas Kneib, Matthias Schmid, and Benjamin Hofner)
Awards
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"gmds-Förderpreis 2009"
awarded by the "Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V." (gmds)
for an outstanding thesis in the area of medical biometry for my thesis "Variable Selection and Model Choice on Survival Models with Time-Varying Effects".
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"Bernd-Streitberg-Preis 2009"
awarded by the International Biometric Society - German Region (IBS-DR)
for outstanding biometrical publications and theses for my
thesis "Variable Selection and Model Choice on Survival Models with Time-Varying Effects".
Just Accepted:
T. Hothorn, P. Bühlmann, T. Kneib, M. Schmid and B. Hofner. Model-based Boosting 2.0.
Journal of Machine Learning Research, 2010, accepted.
C. P. Schneider, J. Fertmann, S. Geiger, H. Wolf, H. Biermeier, B. Hofner, H. Küchenhoff, K.-W. Jauch, W. H. Hartl.
Long-term survival after surgical critical illness: the impact of prolonged organ support therapy.
Annals of Surgery, 2010. 251(6):1145-1153.
B. Hofner, T. Kneib, W. Hartl, H. Küchenhoff.
Building Cox-Type Structured Hazard Regression Models with Time-Varying Effects.
Statistical Modelling: An International Journal, to appear.
Recently submitted:
B. Hofner, T. Hothorn, T. Kneib, M. Schmid,
A Framework for Unbiased Model Selection Based on Boosting..
Department of Statistics, Technical Report No. 72, 2009.
B. Hofner, T. Hothorn, T. Kneib.
Variable Selection and Model Choice in Structured Survival Models.
Department of Statistics, Technical Report No. 43, 2008.
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Kontakt / Contact
Dipl.-Stat. Benjamin Hofner
Phone:
+49 - 9131 - 85 22707
Postal Address:
see Institutional Homepage
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