Scholar
Imke Mayer
Google Scholar ID: Cy-jx6QAAAAJ
Owkin
causal inference
statistics
missing data
machine learning
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Citations
458
H-index
9
i10-index
8
Publications
20
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Publications
2 items
Causal survival analysis, Estimation of the Average Treatment Effect (ATE): Practical Recommendations
2025
Cited
1
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings
arXiv.org · 2023
Cited
1
Resume (English only)
Academic Achievements
Awarded Google PhD Fellowship in Machine Learning
Published 'Machine Learning Augmented Causal Inference To Estimate The Treatment Effect of Tranexamic Acid In Traumatic Brain Injury'
Co-authored submitted paper 'Transporting treatment effects with missing attributes' with Julie Josse and the Traumabase Group
Co-authored review 'Causal inference methods for combining randomized trials and observational studies: a review' with Bénédicte Colnet et al.
Contributed to a cohort study of 4,642 COVID-19 in-patients in France assessing hydroxychloroquine with or without azithromycin
Authored technical report 'MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models'
Contributed to the R-miss-tastic unified platform for missing values
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Co-authors: 0 (list not available)
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