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Number of items: 8.


Slawski, Martin and Daumer, Martin and Boulesteix, Anne-Laure (30. May 2008): CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. Department of Statistics: Technical Reports, No.29 [PDF, 456kB]

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 [PDF, 422kB]

Neuhaus, Anneke and Augustin, Thomas and Heumann, Christian and Daumer, Martin (2006): A Review on Joint Models in Biometrical Research. Sonderforschungsbereich 386, Discussion Paper 506 [PDF, 259kB]

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. Sonderforschungsbereich 386, Discussion Paper 429 [PDF, 295kB]

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. Sonderforschungsbereich 386, Discussion Paper 435 [PDF, 224kB]

Hellriegel, B. and Daumer, Martin and Neiß, A. (2003): Analysing the course of multiple sclerosis with segmented regression models. Sonderforschungsbereich 386, Discussion Paper 355 [PDF, 248kB]

Daumer, Martin and Bauer, C. and Lederer, C. (1997): Average Run Length and Mean Delay for Changepoint Detection: Robust Estimates for Threshold Alarms. Sonderforschungsbereich 386, Discussion Paper 95 [PDF, 241kB]

Daumer, Martin and Falk, M. and Beyer, U. (1996): On-line monitoring using Multi-Process Kalman Filtering. Sonderforschungsbereich 386, Discussion Paper 54 [PDF, 261kB]

This list was generated on Wed Sep 3 09:11:15 2014 CEST.