Paper

Slawski, Martin and Daumer, Martin and Boulesteix, Anne-Laure (2008): CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. Department of Statistics: Technical Reports, No.29

Boulesteix, Anne-Laure and Strobl, Carolin and Augustin, Thomas and Daumer, Martin (2007): Evaluating microarray-based classifiers: an overview. Department of Statistics: Technical Reports, No.5

Neuhaus, Anneke and Augustin, Thomas and Heumann, Christian and Daumer, Martin (2006): A Review on Joint Models in Biometrical Research. Collaborative Research Center 386, Discussion Paper 506

Ebers, G. C. and Heigenhauser, L. and Daumer, Martin and Lederer, C. and Noseworthy, J. H. (2005): Multiple sclerosis, the measurement of disability and access to clinical trial data. Collaborative Research Center 386, Discussion Paper 429

Heigenhauser, L. and Confavreux, C. and Daumer, Martin and Ebers, G. C. and Kappos, L. and Lederer, C. and Neiß, A. and Polman, C. and Vukusic, S. (2005): Treating Systematic Errors in Multiple Sclerosis Data. Collaborative Research Center 386, Discussion Paper 435

Hellriegel, B. and Daumer, Martin and Neiß, A. (2003): Analysing the course of multiple sclerosis with segmented regression models. Collaborative Research Center 386, Discussion Paper 355

Daumer, Martin and Bauer, C. and Lederer, C. (1997): Average Run Length and Mean Delay for Changepoint Detection: Robust Estimates for Threshold Alarms. Collaborative Research Center 386, Discussion Paper 95

Daumer, Martin and Falk, M. and Beyer, U. (1996): On-line monitoring using Multi-Process Kalman Filtering. Collaborative Research Center 386, Discussion Paper 54