73 citations · 180 across the 9 of their papers we have counts for
9 papers
Platform Trials: the Impact of common Controls on Type One Error and Power
Quynh Nguyen, Katharina Hees, Benjamin Hofner
Platform trials offer a framework to study multiple interventions in a single trial with the opportunity of opening and closing arms. The use of a common control in platform trials…
Spatiotemporal modelling of sea duck abundance: implications for marine spatial planning
A. D. Smith, B. Hofner, J. E. Osenkowski +4
Effective marine spatial plans require information on the distribution and abundance of biological resources that are potentially vulnerable to anthropogenic change. In North Ameri…
An update on statistical boosting in biomedicine
Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann +3
Statistical boosting algorithms have triggered a lot of research during the last decade. They combine a powerful machine-learning approach with classical statistical modelling, off…
OpenML: An R Package to Connect to the Machine Learning Platform OpenML
Giuseppe Casalicchio, Jakob Bossek, Michel Lang +6
OpenML is an online machine learning platform where researchers can easily share data, machine learning tasks and experiments as well as organize them online to work and collaborat…
Stability selection for component-wise gradient boosting in multiple dimensions
Janek Thomas, Andreas Mayr, Bernd Bischl +3
We present a new algorithm for boosting generalized additive models for location, scale and shape (GAMLSS) that allows to incorporate stability selection, an increasingly popular w…
Controlling false discoveries in high-dimensional situations: Boosting with stability selection
Benjamin Hofner, Luigi Boccuto, Markus Göker
Modern biotechnologies often result in high-dimensional data sets with much more variables than observations (n p). These data sets pose new challenges to statistical analysi…
gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework
Benjamin Hofner, Andreas Mayr, Matthias Schmid
Generalized additive models for location, scale and shape (GAMLSS) are a flexible class of regression models that allow to model multiple parameters of a distribution function, suc…
A Unified Framework of Constrained Regression
Benjamin Hofner, Thomas Kneib, Torsten Hothorn
Generalized additive models (GAMs) play an important role in modeling and understanding complex relationships in modern applied statistics. They allow for flexible, data-driven est…
Biologists meet statisticians: A workshop for young scientists to foster interdisciplinary team work
Benjamin Hofner, Lea Vaas, John-Philip Lawo +3
Life science and statistics have necessarily become essential partners. The need to plan complex, structured experiments, involving elaborated designs, and the need to analyse data…