output
20192026
most citedData Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

103 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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4 papers · 1 filter

stat.ME2025

Calibrating confounding strength in sensitivity models for weighting estimators: a comparative review and a new method

Jean-Baptiste Baitairian, Bernard Sebastien, Rana Jreich +2

Causal inference is only valid when its underlying assumptions are satisfied, one of the most central being the ignorability or unconfoundedness assumption. However, this hypothesi…

stat.ME2024★ 1 cited

Sharp Bounds for Continuous-Valued Treatment Effects with Unobserved Confounders

Jean-Baptiste Baitairian, Bernard Sebastien, Rana Jreich +2

In causal inference, treatment effects are typically estimated under the ignorability, or unconfoundedness, assumption, which is often unrealistic in observational data. By relaxin…

stat.ME2022★ 1 cited

Bayesian Framework for Multi-Source Data Integration -- Application to Human Extrapolation From Preclinical Studies

Sandrine Boulet, Moreno Ursino, Robin Michelet +4

In preclinical investigations, e.g. in in vitro, in vivo and in silico studies, the pharmacokinetic, pharmacodynamic and toxicological characteristics of a drug are evaluated befor…

stat.ME2021★ 5 cited

A straightforward meta-analysis approach for oncology phase I dose-finding studies

Christian Röver, Moreno Ursino, Tim Friede +1

Phase I early-phase clinical studies aim at investigating the safety and the underlying dose-toxicity relationship of a drug or combination. While little may still be known about t…