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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 54

Monographie

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

Zeitschriftenartikel

Mauschitz, Matthias M.; Schmitz, Marie-Therese; Verzijden, Timo; Schmid, Matthias; Thee, Eric F.; Colijn, Johanna M.; Delcourt, Cécile ORCID logoORCID: https://orcid.org/0000-0002-2099-0481; Cougnard-Grégoire, Audrey; Merle, Bénédicte M. J. ORCID logoORCID: https://orcid.org/0000-0003-1332-0954; Korobelnik, Jean-François ORCID logoORCID: https://orcid.org/0000-0002-4438-9535; Gopinath, Bamini; Mitchell, Paul; Elbaz, Hisham; Schuster, Alexander K.; Wild, Philipp S.; Brandl, Caroline ORCID logoORCID: https://orcid.org/0000-0001-8223-6137; Stark, Klaus J.; Heid, Iris M.; Günther, Felix ORCID logoORCID: https://orcid.org/0000-0001-6582-1174; Peters, Annette ORCID logoORCID: https://orcid.org/0000-0001-6645-0985; Klaver, Caroline C. W. und Finger, Robert P. (2022): Physical Activity, Incidence, and Progression of Age-Related Macular Degeneration: A Multicohort Study. In: American Journal of Ophthalmology, Bd. 236: S. 99-106

Behning, Charlotte; Fleckenstein, Monika; Pfau, Maximilian; Adrion, Christine; Goerdt, Lukas; Lindner, Moritz; Schmitz-Valckenberg, Steffen; Holz, Frank G. und Schmid, Matthias (2021): Modeling of atrophy size trajectories: variable transformation, prediction and age-of-onset estimation. In: Springer Nature Medical Research Methodology, Bd. 21, Nr. 1, 170

Behning, Charlotte; Fleckenstein, Monika; Pfau, Maximilian; Adrion, Christine ORCID logoORCID: https://orcid.org/0000-0003-2408-2533; Goerdt, Lukas; Lindner, Moritz; Schmitz-Valckenberg, Steffen; Holz, Frank G. und Schmid, Matthias (2021): Modeling of atrophy size trajectories: variable transformation, prediction and age-of-onset estimation. In: BMC Medical Research Methodology, Bd. 21, 170 [PDF, 1MB]

Schmid, Matthias; Grossmann, Adriana S.; Mayer, Peter; Müller, Thomas und Magauer, Thomas (2019): Ring-expansion approaches for the total synthesis of salimabromide. In: Tetrahedron, Bd. 75, Nr. 24: S. 3195-3215

Berger, Moritz; Tutz, Gerhard und Schmid, Matthias (2019): Tree-structured modelling of varying coefficients. In: Statistics and Computing, Bd. 29, Nr. 2: S. 217-229

Puth, Marie-Therese; Tutz, Gerhard; Heim, Nils; Muenster, Eva; Schmid, Matthias und Berger, Moritz (2019): Tree-based modeling of time-varying coefficients in discrete time-to-event models. In: Lifetime Data Analysis, Bd. 26, Nr. 3: S. 545-572

Herrlinger, Ulrich; Tzaridis, Theophilos; Mack, Frederic; Steinbach, Joachim Peter; Schlegel, Uwe; Sabel, Michael; Hau, Peter; Kortmann, Rolf-Dieter; Krex, Dietmar; Grauer, Oliver; Goldbrunner, Roland; Schnell, Oliver; Baehr, Oliver; Uhl, Martin; Seidel, Clemens; Tabatabai, Ghazaleh; Kowalski, Thomas; Ringel, Florian; Schmidt-Graf, Friederike; Suchorska, Bogdana; Brehmer, Stefanie; Weyerbrock, Astrid; Renovanz, Miriam; Bullinger, Lars; Galldiks, Norbert; Vajkoczy, Peter; Misch, Martin; Vatter, Hartmut; Stuplich, Moritz; Schäfer, Niklas; Kebir, Sied; Weller, Johannes; Schaub, Christina; Stummer, Walter; Tonn, Jörg-Christian; Simon, Matthias; Keil, Vera C.; Nelles, Michael; Urbach, Horst; Coenen, Martin; Wick, Wolfgang; Weller, Michael; Fimmers, Rolf; Schmid, Matthias; Hattingen, Elke; Pietsch, Torsten; Coch, Christoph und Glas, Martin (2019): Lomustine-temozolomide combination therapy versus standard temozolomide therapy in patients with newly diagnosed glioblastoma with methylated MGMT promoter (CeTeG/NOA-09): a randomised, open-label, phase 3 trial. In: Lancet, Bd. 393, Nr. 10172: S. 678-688

Fazzini, Federica; Lamina, Claudia; Fendt, Liane; Schultheiss, Ulla T.; Kotsis, Fruzsina; Hicks, Andrew A.; Meiselbach, Heike; Weissensteiner, Hansi; Forer, Lukas; Krane, Vera; Eckardt, Kai-Uwe; Koettgen, Anna; Kronenberg, Florian; Schneider, Markus; Dienemann, Thomas; Prokosch, Hans-Ulrich; Barthlein, Barbara; Beck, Andreas; Ganslandt, Thomas; Reis, Andre; Ekici, Arif B.; Avendano, Susanne; Becker-Grosspitsch, Dinah; Alberth-Schmidt, Ulrike; Hausknecht, Birgit; Zitzmann, Rita; Weigel, Anke; Walz, Gerd; Schultheiss, Ulla; Kotsis, Fruzsina; Meder, Simone; Mitsch, Erna; Reinhard, Ursula; Floege, Jurgen; Schlieper, Georg; Saritas, Turgay; Ernst, Sabine; Beaujean, Nicole; Schaeffner, Elke; Baid-Agrawal, Seema; Theisen, Kerstin; Haller, Hermann; Menne, Jan; Zeier, Martin; Sommerer, Claudia; Woitke, Rebecca; Wolf, Gunter; Busch, Martin; Fuss, Rainer; Sitter, Thomas; Blank, Claudia; Wanner, Christoph; Krane, Vera; Borner-Klein, Antje; Bauer, Britta; Raschenberger, Julia; Kollerits, Barbara; Forer, Lukas; Schonherr, Sebastian; Weissensteiner, Hansi; Oefner, Peter; Gronwald, Wolfram; Zacharias, Helena; Schmid, Matthias und Nadal, Jennifer (2019): Mitochondrial DNA copy number is associated with mortality and infections in a large cohort of patients with chronic kidney disease. In: Kidney International, Bd. 96, Nr. 2: S. 480-488

Schmid, Matthias; Grossmann, Adriana S.; Wurst, Klaus und Magauer, Thomas (2018): Total Synthesis of Salimabromide: A Tetracyclic Polyketide from a Marine Myxobacterium. In: Journal of the American Chemical Society, Bd. 140, Nr. 27: S. 8444-8447

Thomas, Janek; Mayr, Andreas; Bischl, Bernd; Schmid, Matthias; Smith, Adam und Hofner, Benjamin (2018): Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates. In: Statistics and Computing, Bd. 28, Nr. 3: S. 673-687

Schmid, Matthias; Tutz, Gerhard und Welchowski, Thomas (2018): Discrimination measures for discrete time-to-event predictions. In: Econometrics and Statistics, Bd. 7: S. 153-164

Schneider, Markus P.; Hilgers, Karl F.; Schmid, Matthias; Hübner, Silvia; Nadal, Jennifer; Seitz, David; Busch, Martin; Haller, Hermann; Koettgen, Anna; Kronenberg, Florian; Baid-Agrawal, Seema; Schlieper, Georg; Schultheiss, Ulla; Sitter, Thomas; Sommerer, Claudia; Titze, Stephanie; Meiselbach, Heike; Wanner, Christoph und Eckardt, Kai-Uwe (2018): Blood pressure control in chronic kidney disease: A cross-sectional analysis from the German Chronic Kidney Disease (GCKD) study.
In: PLOS One 13(8), e0202604 [PDF, 1MB]

Schmid, Matthias und Trauner, Dirk (2017): Biomimetic Synthesis of Complex Flavonoids Isolated from Daemonorops "Dragon's Blood". In: Angewandte Chemie-international Edition, Bd. 56, Nr. 40: S. 12332-12335

Stricker, Georg; Engelhardt, Alexander; Schulz, Daniel; Schmid, Matthias; Tresch, Achim und Gagneur, Julien (2017): GenoGAM: genome-wide generalized additive models for ChIP-Seq analysis. In: Bioinformatics, Bd. 33, Nr. 15: S. 2258-2265

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 (2016): 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 17:59 [PDF, 540kB]

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, Bd. 72, Nr. 2: S. 392-401

Schmid, Matthias; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; 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, Bd. 35, Nr. 5: S. 734-751

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

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

Möst, Lisa; Schmid, Matthias; Faschingbauer, Florian und Hothorn, Torsten (2014): Predicting Birth Weight with Conditionally Linear Transformation Models. In: Statistical Methods in Medical Research [PDF, 954kB]

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

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

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]

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]

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, Bd. 11, Nr. 5

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

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), Bd. 61: S. 403-427

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

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, Bd. 11, Nr. 5: S. 1-24 [PDF, 446kB]

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, Bd. 18, Nr. 4: S. 709-733

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, Bd. 20, Nr. 4: S. 956-971

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

Hothorn, Torsten; Bühlmann, Peter; Kneib, Thomas; Schmid, Matthias und Hofner, Benjamin (2010): Model-based boosting 2.0. In: Journal of Machine Learning Research, Bd. 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, Bd. 20, Nr. 2: S. 139-150

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

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

Paper

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]

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]

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]

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

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

Schmid, Matthias; Schneeweiß, Hans und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (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]

Schmid, Matthias; Schneeweiß, Hans und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2005): Consistent Estimation of a Simple Linear Model Under Microaggregation. Sonderforschungsbereich 386, Discussion Paper 415 [PDF, 421kB]

Buchbeitrag

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

Diese Liste wurde am Sat Mar 16 23:22:32 2024 CET erstellt.