activity
20102019
most citedNetboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease

25 citations · 72 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.GN2019★ 25 cited

Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease

Pascal Schlosser, Jochen Knaus, Maximilian Schmutz +7

Background: State-of-the art selection methods fail to identify weak but cumulative effects of features found in many high-dimensional omics datasets. Nevertheless, these features…

stat.AP2019★ 9 cited

The population-attributable fraction for time-dependent exposures and competing risks - A discussion on estimands

Maja von Cube, Martin Schumacher, Sebastien Bailly +5

The population-attributable fraction (PAF) quantifies the public health impact of a harmful exposure. Despite being a measure of significant importance an estimand accommodating co…

stat.AP2019★ 12 cited

The population-attributable fraction for time-dependent exposures using dynamic prediction and landmarking

Maja von Cube, Martin Schumacher, Hein Putter +3

The public health impact of a harmful exposure can be quantified by the population-attributable fraction (PAF). The PAF describes the attributable risk due to an exposure and is of…

stat.ME2019★ 11 cited

Causal inference with multi-state models - estimands and estimators of the population-attributable fraction

Maja von Cube, Martin Schumacher, Martin Wolkewitz

The population-attributable fraction (PAF) is a popular epidemiological measure for the burden of a harmful exposure within a population. It is often interpreted causally as propor…

stat.AP2016★ 4 cited

A flexible multivariate random effects proportional odds model with application to adverse effects during radiation therapy

Nicole Augustin, Sung Won Kim, Annemarie Uhlig +3

Radiation therapy in patients with head and neck cancer has a toxic effect on mucosa, the soft tissue in and around the mouth. Hence mucositis is a serious common side effect and i…

stat.CO2010★ 11 cited

A coordinate-wise optimization algorithm for the Fused Lasso

Holger Höfling, Harald Binder, Martin Schumacher

L1 -penalized regression methods such as the Lasso (Tibshirani 1996) that achieve both variable selection and shrinkage have been very popular. An extension of this method is the F…