BITES: Balanced Individual Treatment Effect for Survival data

1 code implementation • 5 Jan 2022 • Stefan Schrod, Andreas Schäfer, Stefan Solbrig, Robert Lohmayer, Wolfram Gronwald, Peter J. Oefner, Tim Beißbarth, Rainer Spang, Helena U. Zacharias, Michael Altenbuchinger

Their inference is often challenged by the fact that the training data comprises only the outcome for the administered treatment, and not for alternative treatments (the so-called counterfactual outcomes).

counterfactual

Differentiated uniformization: A new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models

1 code implementation • 21 Dec 2021 • Kevin Rupp, Rudolf Schill, Jonas Süskind, Peter Georg, Maren Klever, Andreas Lösch, Lars Grasedyck, Tilo Wettig, Rainer Spang

Both are challenging to compute when the state space and hence the size of $Q$ is huge.

Scale-invariant biomarker discovery in urine and plasma metabolite fingerprints

1 code implementation • 22 Mar 2017 • Helena U. Zacharias, Thorsten Rehberg, Sebastian Mehrl, Daniel Richtmann, Tilo Wettig, Peter J. Oefner, Rainer Spang, Wolfram Gronwald, Michael Altenbuchinger

Motivation: Metabolomics data is typically scaled to a common reference like a constant volume of body fluid, a constant creatinine level, or a constant area under the spectrum.

regression