74 citations · 74 across the 2 of their papers we have counts for
3 papers
Prediction modelling with many correlated and zero-inflated predictors: assessing a nonnegative garrote approach
Mariella Gregorich, Michael Kammer, Harald Mischak +1
Building prediction models from mass-spectrometry data is challenging due to the abundance of correlated features with varying degrees of zero-inflation, leading to a common intere…
Phases of methodological research in biostatistics - building the evidence base for new methods
Georg Heinze, Anne-Laure Boulesteix, Michael Kammer +2
Although the biostatistical scientific literature publishes new methods at a very high rate, many of these developments are not trustworthy enough to be adopted by the scientific c…
Evaluating methods for Lasso selective inference in biomedical research by a comparative simulation study
Michael Kammer, Daniela Dunkler, Stefan Michiels +1
Variable selection for regression models plays a key role in the analysis of biomedical data. However, inference after selection is not covered by classical statistical frequentist…