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Dr. Claudia Köllmann

Mathematische Statistik und biometrische Anwendungen
Statistik in den Biowissenschaften

Contact

Claudia Köllmann
Mathematik,
Room 744
+49 231 755 - 3116
+49 231 755 - 5303
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund


Office hours

by appointment

 

Research interests

  • Nonparametric regression under shape restrictions (Unimodal Spline-Regression)
  • R package "uniReg"
  • SFB 876 project C4: Regression approaches for large-scale high-dimensional data
  • Diploma thesis: Stabilität von Ergebnissen aus Biclustering-Algorithmen (supervised by J. Rahnenführer)
  • Dissertation: Unimodal spline regression and its use in various applications with single or multiple modes. http://dx.doi.org/10.17877/DE290R-17270

 

Teaching

  • Tutorial: Statistik IV (SS 2017)
  • Lecture: Spline-Regression (WS 2016/17)
  • Seminar: Spline-Regression (SS 2016)
  • Lecture: Statistics in Genetics (Epidemiology) (SS 2015)
  • Tutorial: Programming with R II (SS 2014)
  • Tutorial: Programming with R I (WS 2013/14, WS 2014/15)
  • Tutorial: Epidemiology (WS 2013/14)

 

 

Publications

  • Jan Rekowski, Claudia Köllmann, Björn Bornkamp, Katja Ickstadt and André Scherag. Phase II Dose–Response Trials: A Simulation Study to Compare Analysis Method Performance under Design Considerations. Journal of Biopharmaceutical Statistics, 2017. [DOI]
  • Claudia Köllmann, Katja Ickstadt and Roland Fried. Beyond unimodal regression: modelling multimodality with piecewise unimodal regression or deconvolution models. ArXiv e-prints, June 2016. http://arxiv.org/abs/1606.01666v1.
  • Claudia Köllmann, Björn Bornkamp and Katja Ickstadt. Unimodal regression using Bernstein-Schoenberg splines and penalties. Biometrics, vol. 70 no. 4, pages 783-793, 2014. [DOI]
  • Claudia Köllmann, Katja Ickstadt and Roland Fried. Beyond unimodal regression: modelling multimodality with piecewise unimodal, mixture or additive regression. Technical report 8, SFB 876, TU Dortmund, 2014.
  • Miriam Lohr, Claudia Köllmann, Evgenia Freis, Birte Hellwig, Jan G. Hengstler, Katja Ickstadt and Jörg Rahnenführer. Optimal strategies for sequential validation of significant features from high-dimensional genomic data. Journal of Toxicology and Environmental Health. Part A, vol. 75 no. 8-10, pages 447-460, 2012. [DOI]
  • Daniel Vogel, Claudia Köllmann and Roland Fried. Partial correlation estimates based on signs. In Proceedings of the 1st Workshop on Information Theoretic Methods in Science and Engineering (WITMSE), volume 43 of TICSP series, Tampere, Finland, 2008.