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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005
Anzahl der Publikationen: 40 .

2016

Schmid, Matthias; Küchenhoff, Helmut; Hoerauf, Achim und Tutz, Gerhard (2016): A survival tree method for the analysis of discrete event times in clinical and epidemiological studies. In: Statistics in Medicine, Vol. 35, Nr. 5: S. 734-751

Tutz, Gerhard und Schmid, Matthias (2016): Modeling Discrete Time-to-Event Data. Cham: Springer.

Casalicchio, Giuseppe; Bischl, Bernd; Boulesteix, Anne-Laure und Schmid, Matthias (2016): The residual-based predictiveness curve: A visual tool to assess the performance of prediction models. In: Biometrics, Vol. 72, Nr. 2: S. 392-401

Busch, Martin; Nadal, Jennifer; Schmid, Matthias; Paul, Katharina; Titze, Stephanie; Hübner, Silvia; Köttgen, Anna; Schultheiss, Ulla T.; Baid-Agrawal, Seema; Lorenzen, Johan; Schlieper, Georg; Sommerer, Claudia; Krane, Vera; Hilge, Robert; Kielstein, Jan T.; Kronenberg, Florian; Wanner, Christoph; Eckardt, Kai-Uwe und Wolf, Gunter: Glycaemic control and antidiabetic therapy in patients with diabetes mellitus and chronic kidney disease - cross-sectional data from the German Chronic Kidney Disease (GCKD) cohort. In: BMC Nephrology 2016, 17:59 [PDF, 540kB]

2015

Casalicchio, Giuseppe; Bischl, Bernd; Boulesteix, Anne-Laure und Schmid, Matthias (9. Januar 2015): The Residual-based Predictiveness Curve - A Visual Tool to Assess the Performance of Prediction Models. Department of Statistics: Technical Reports, Nr. 178 [PDF, 1MB]

Schmid, Matthias; Kestler, Hans A. und Potapov, Sergej (2015): On the validity of time-dependent AUC estimators. In: Briefings in Bioinformatics, Vol. 16, Nr. 1: S. 153-68

2014

Wahl, Simone; Fenske, Nora; Zeilinger, Sonja; Suhre, Karsten; Gieger, Christian; Waldenberger, Melanie; Grallert, Harald und Schmid, Matthias: On the potential of models for location and scale for genome-wide DNA methylation data. In: BMC Bioinformatics 2014, 15:232 [PDF, 1MB]

Mayr, Andreas und Schmid, Matthias (2014): Boosting the concordance index for survival data - a unified framework to derive and evaluate biomarker combinations.
In: PLOS ONE 9(1), e84483 [PDF, 442kB]

Schneeweiß, Hans; Ronning, Gerd und Schmid, Matthias (2014): Panel model with multiplicative measurement errors. In: Beran, Jan; Feng, Yuanhua und Hebbel, Hartmut (Hrsg.): Empirical Economic and Financial Research - Theory, Methods and Practice. New York: Springer. S. 123-143

Lausser, Ludwig; Schmid, Florian; Schmid, Matthias und Kestler, Hans A. (2014): Unlabeling data can improve classification accuracy. In: Pattern Recognition Letters, Vol. 37: S. 15-23

Boulesteix, Anne-Laure und Schmid, Matthias (2014): Machine learning versus statistical modeling. In: Biometrical Journal, Vol. 56, Nr. 4: S. 588-593

Möst, Lisa; Schmid, Matthias; Faschingbauer, Florian und Hothorn, Torsten (2014): Predicting Birth Weight with Conditionally Linear Transformation Models. In: Statistical Methods in Medical Research

2013

Schmid, Matthias; Wickler, Florian; Maloney, Kelly O.; Mitchell, Richard; Fenske, Nora und Mayr, Andreas (2013): Boosted Beta regression.
In: PLOS ONE 8(4), e61623 [PDF, 1MB]

Schmid, Matthias; Wickler, Florian; Maloney, Kelly O.; Mitchell, Richard; Fenske, Nora und Mayr, Andreas (2013): Boosted beta regression.
In: PLOS ONE 8(4), e61623 [PDF, 1MB]

2012

Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay und Schmid, Matthias (14. Februar 2012): Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost. Department of Statistics: Technical Reports, Nr. 120 [PDF, 784kB]

Schmid, Matthias; Hothorn, Torsten; Krause, Friedemann und Rabe, Christina (2012): A PAUC-based Estimation Technique for Disease Classification and Biomarker Selection. In: Statistical Applications in Genetics and Molecular Biology, Vol. 11, Nr. 5: S. 1-24 [PDF, 446kB]

Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay und Schmid, Matthias (2012): Model-based boosting in R: a hands-on tutorial using the R package mboost. In: Computational Statistics: S. 1-33

Mayr, Andreas; Fenske, Nora; Hofner, Benjamin; Kneib, Thomas und Schmid, Matthias (2012): Generalized additive models for location scale and shape for high-dimensional data - a flexible approach based on boosting. In: Journal of the Royal Statistical Society, Series C (Applied Statistics), Vol. 61: S. 403-427

Schmid, Matthias; Hothorn, Torsten; Krause, Friedemann und Rabe, Christina (2012): A PAUC-based estimation technique for disease classification and biomarker selection. In: Statistical Applications in Genetics and Molecular Biology, Vol. 11, Nr. 5

Schneeweiß, Hans; Rost, Daniel und Schmid, Matthias (2012): Probability and quantile estimation from individually micro-aggregated data. In: Metrika, Vol. 75, Nr. 6: S. 721-742

2011

Schmid, Matthias; Hielscher, Thomas; Augustin, Thomas und Gefeller, Olaf (2011): A robust alternative to the Schemper-Henderson measure of prediction error. In: Biometrics, Vol. 67, Nr. 2: S. 524-535

Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas und Schmid, Matthias (2011): A framework for unbiased model selection based on boosting. In: Journal of Computational and Graphical Statistics, Vol. 20, Nr. 4: S. 956-971

Schmid, Matthias; Hothorn, Torsten; Maloney, Kelly O.; Weller, D. und Potapov, Sergej (2011): Geoadditive regression modeling of stream biological condition. In: Environmental and Ecological Statistics, Vol. 18, Nr. 4: S. 709-733

2010

Mayr, Andreas; Fenske, Nora; Hofner, Benjamin; Kneib, Thomas und Schmid, Matthias (13. Dezember 2010): GAMLSS for high-dimensional data – a flexible approach based on boosting. Department of Statistics: Technical Reports, Nr. 98 [PDF, 2MB]

Schmid, Matthias; Hothorn, Torsten; Maloney, K. O.; Weller, D. E. und Potapov, Sergej (2010): Geoadditive Regression Modeling of Stream Biological Condition. Department of Statistics: Technical Reports, Nr. 86 [PDF, 6MB]

Hothorn, Torsten; Bühlmann, Peter; Kneib, Thomas; Schmid, Matthias und Hofner, Benjamin (2010): Model-based boosting 2.0. In: Journal of Machine Learning Research, Vol. 11: S. 1851-1855

Schmid, Matthias; Potapov, Sergej; Pfahlberg, Annette und Hothorn, Torsten (2010): Estimation and regularization techniques for regression models with multidimensional prediction functions. In: Statistics and Computing, Vol. 20, Nr. 2: S. 139-150

2009

Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas und Schmid, Matthias (10. Dezember 2009): A Framework for Unbiased Model Selection Based on Boosting. Department of Statistics: Technical Reports, Nr. 72 [PDF, 914kB]

Schmid, Matthias und Schneeweiß, Hans (2009): The effect of microaggregation by individual ranking on the estimation of moments. In: Journal of Econometrics, Vol. 153: S. 174-182

2008

Schmid, Matthias; Potapov, Sergej; Pfahlberg, Annette und Hothorn, Torsten (24. November 2008): Estimation and Regularization Techniques for Regression Models with Multidimensional Prediction Functions. Department of Statistics: Technical Reports, Nr. 42 [PDF, 756kB]

Schmid, Matthias und Schneeweiß, Hans (4. April 2008): The Effect of Microaggregation by Individual Ranking on the Estimation of Moments. Department of Statistics: Technical Reports, Nr. 25 [PDF, 402kB]

Schmid, Matthias und Hothorn, Torsten (2008): Flexible Boosting of Accelerated Failure Time Models. Department of Statistics: Technical Reports, Nr. 18 [PDF, 378kB]

Schmid, Matthias und Hothorn, Torsten: Flexible boosting of accelerated failure time models. In: BMC Bioinformatics 2008, 9:269 [PDF, 385kB]

2007

Schmid, Matthias und Hothorn, Torsten (2007): Boosting Additive Models using Component-wise P-Splines. Department of Statistics: Technical Reports, Nr. 2 [PDF, 483kB]

2006

Schmid, Matthias (2006): The Effect of Single-Axis Sorting on the Estimation of a Linear Regression. Sonderforschungsbereich 386, Discussion Paper 472 [PDF, 290kB]

2005

Schmid, Matthias; Schneeweiß, Hans und Küchenhoff, Helmut (2005): Consistent Estimation of a Simple Linear Model Under Microaggregation. Sonderforschungsbereich 386, Discussion Paper 415 [PDF, 421kB]

Schmid, Matthias; Schneeweiß, Hans und Küchenhoff, Helmut (2005): Statistical Inference in a Simple Linear Model Under Microaggregation. Sonderforschungsbereich 386, Discussion Paper 416 [PDF, 352kB]

Schmid, Matthias und Schneeweiß, Hans (2005): The Effect of Microaggregation Procedures on the Estimation of Linear Models: A Simulation Study. Sonderforschungsbereich 386, Discussion Paper 443 [PDF, 369kB]

Schmid, Matthias (2005): Estimation of a Linear Model under Microaggregation by Individual Ranking. Sonderforschungsbereich 386, Discussion Paper 453 [PDF, 286kB]

Schmid, Matthias und Schneeweiß, Hans (2005): Estimation of a Linear Regression under Microaggregation with the Response Variable as a Sorting Variable. Sonderforschungsbereich 386, Discussion Paper 462 [PDF, 282kB]

Diese Liste wurde am Mon Dec 18 19:28:02 2017 CET erstellt.