Berücksichtigung prognostischer Faktoren bei der Planung von Therapiestudien. - Erika Graf; Willi Sauerbrei; Martin Schumacher; Claudia Schmoor (GMDS, 1994)

Randomisierte und nicht-randomisierte Patienten in klinischen Therapiestudien: Erfahrungen mit dem CCS-Design. - C. Schmoor; M. Olschewski; Martin Schumacher (GMDS, 1994)

Bootstrap and Cross-Validation to Assess Complexity of Data-Driven Regression Models. - Willi Sauerbrei; Martin Schumacher (ISMDA, 2000)

Functional MRI in Patients with Band Heterotopia. - Joachim Spreer; Peter Martin; Wark M. Greenlee; Rainer Wohlfarth; Axel Hammen; Sebastian M. Arnold; Martin Schumacher (NeuroImage, 2001)

Estimating the functional form of a continuous covariate's effect on survival time. - Norbert Holländer; Martin Schumacher (Comput. Stat. Data Anal., 2006)

Assessment of survival prediction models based on microarray data. - Martin Schumacher; Harald Binder; Thomas Gerds (Bioinform., 2007)

Comment on "network-constrained regularization and variable selection for analysis of genomic data". - Harald Binder; Martin Schumacher (Bioinform., 2008)

Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models. - Harald Binder; Martin Schumacher (BMC Bioinform., 2008)

Boosting for high-dimensional time-to-event data with competing risks. - Harald Binder; Arthur Allignol; Martin Schumacher; Jan Beyersmann (Bioinform., 2009)

Parallelized prediction error estimation for evaluation of high-dimensional models. - Christine Porzelius; Harald Binder; Martin Schumacher (Bioinform., 2009)

Incorporating pathway information into boosting estimation of high-dimensional risk prediction models. - Harald Binder; Martin Schumacher (BMC Bioinform., 2009)

Sparse regression techniques in low-dimensional survival data settings. - Christine Porzelius; Martin Schumacher; Harald Binder (Stat. Comput., 2010)

Simulating and analysing infectious disease data in a heterogeneous population with migration. - Martin Wolkewitz; Martin Schumacher (Comput. Methods Programs Biomed., 2011)

Estimating summary functionals in multistate models with an application to hospital infection data. - Arthur Allignol; Martin Schumacher; Jan Beyersmann (Comput. Stat., 2011)

The benefit of data-based model complexity selection via prediction error curves in time-to-event data. - Christine Porzelius; Martin Schumacher; Harald Binder (Comput. Stat., 2011)

Can matching improve the performance of boosting for identifying important genes in observational studies? - Veronika Reiser; Christine Porzelius; Susanne Stampf; Martin Schumacher; Harald Binder (Comput. Stat., 2013)

minPtest: a resampling based gene region-level testing procedure for genetic case-control studies. - Stefanie Hieke; Harald Binder; Alexandra Nieters; Martin Schumacher (Comput. Stat., 2014)

Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information. - Stefanie Hieke; Axel Benner; Richard F. Schlenl; Martin Schumacher; Lars Bullinger; Harald Binder (BMC Bioinform., 2016)

Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation. - Regina Brinster; Anna Köttgen; Bamidele O. Tayo; Martin Schumacher; Peggy Sekula (BMC Bioinform., 2018)

Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease. - Pascal Schlosser; Jochen Knaus; Maximilian Schmutz; Konstanze Döhner; Christoph Plass; Lars Bullinger; Rainer Claus; Harald Binder; Michael Lübbert; Martin Schumacher (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)