Christoph Bernau

TL;DR: This work addresses outstanding controversies in the ovarian cancer literature and provides a reproducible framework for meta-analytic evaluation of gene signatures and confirms that these require improvement to be of clinical value.

TL;DR: This work develops and implements a systematic approach to ‘cross-study validation’, to replace or supplement conventional cross-validation when evaluating high-dimensional prediction models in independent datasets, and suggests that standard cross- validation produces inflated discrimination accuracy for all algorithms considered, when compared to cross- study validation.

TL;DR: Extensive vascular involvement of both the temporal and subclavian/axillary arteries, as depicted by CDS, may be associated with a poor treatment response in GCA.

TL;DR: A new method is developed which is based on a decomposition of the unconditional error rate involving the tuning procedure, that is, the error rate of wrapper algorithms as introduced in the context of internal cross‐validation (ICV) by Varma and Simon.

TL;DR: Quality of life and functional performance are impaired in patients with a history of conservatively treated primary UEDVT, and Impairment is most pronounced in Patients with mild to moderate PTS occurring in every third patient.