Martin Schumacher - researchr alias

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Viewing Publication 1 - 19 from 19

2021

Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's DiseasePascal Schlosser, Jochen Knaus, Maximilian Schmutz, Konstanze Döhner, Christoph Plass, Lars Bullinger, Rainer Claus, Harald Binder, Michael Lübbert, Martin Schumacher. tcbb, 18(6):2635-2648, 2021. [doi]

2018

Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigationRegina Brinster, Anna Köttgen, Bamidele O. Tayo, Martin Schumacher, Peggy Sekula. bmcbi, 19(1), 2018. [doi]

2016

Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary informationStefanie Hieke, Axel Benner, Richard F. Schlenl, Martin Schumacher, Lars Bullinger, Harald Binder. bmcbi, 17:327, 2016. [doi]

2014

minPtest: a resampling based gene region-level testing procedure for genetic case-control studiesStefanie Hieke, Harald Binder, Alexandra Nieters, Martin Schumacher. cstat, 29(1):51-63, 2014. [doi]

2013

Can matching improve the performance of boosting for identifying important genes in observational studies?Veronika Reiser, Christine Porzelius, Susanne Stampf, Martin Schumacher, Harald Binder. cstat, 28(1):37-49, 2013. [doi]

2011

Estimating summary functionals in multistate models with an application to hospital infection dataArthur Allignol, Martin Schumacher, Jan Beyersmann. cstat, 26(2):181-197, 2011. [doi]

The benefit of data-based model complexity selection via prediction error curves in time-to-event dataChristine Porzelius, Martin Schumacher, Harald Binder. cstat, 26(2):293-302, 2011. [doi]

Simulating and analysing infectious disease data in a heterogeneous population with migrationMartin Wolkewitz, Martin Schumacher. cmpb, 104(2):29-36, 2011. [doi]

2010

Sparse regression techniques in low-dimensional survival data settingsChristine Porzelius, Martin Schumacher, Harald Binder. sac, 20(2):151-163, 2010. [doi]

2009

Incorporating pathway information into boosting estimation of high-dimensional risk prediction modelsHarald Binder, Martin Schumacher. bmcbi, 10, 2009. [doi]

Boosting for high-dimensional time-to-event data with competing risksHarald Binder, Arthur Allignol, Martin Schumacher, Jan Beyersmann. bioinformatics, 25(7):890-896, 2009. [doi]

Parallelized prediction error estimation for evaluation of high-dimensional modelsChristine Porzelius, Harald Binder, Martin Schumacher. bioinformatics, 25(6):827-829, 2009. [doi]

2008

Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival modelsHarald Binder, Martin Schumacher. bmcbi, 9, 2008. [doi]

Comment on network-constrained regularization and variable selection for analysis of genomic data Harald Binder, Martin Schumacher. bioinformatics, 24(21):2566-2568, 2008. [doi]

2007

Assessment of survival prediction models based on microarray dataMartin Schumacher, Harald Binder, Thomas Gerds. bioinformatics, 23(14):1768-1774, 2007. [doi]

2006

Estimating the functional form of a continuous covariate s effect on survival timeNorbert Holländer, Martin Schumacher. csda, 50(4):1131-1151, 2006. [doi]

2000

Bootstrap and Cross-Validation to Assess Complexity of Data-Driven Regression ModelsWilli Sauerbrei, Martin Schumacher. ismda 2000: 234-241 [doi]

1994

Berücksichtigung prognostischer Faktoren bei der Planung von TherapiestudienE. Graf, Willi Sauerbrei, Martin Schumacher, C. Schmoor. gmds 1994: 475-480

Randomisierte und nicht-randomisierte Patienten in klinischen Therapiestudien: Erfahrungen mit dem CCS-DesignC. Schmoor, M. Olschewski, Martin Schumacher. gmds 1994: 444-449

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