Search Results for author: Imke Mayer

Found 3 papers, 3 papers with code

FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings

1 code implementation28 Nov 2023 Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Félix Balazard, Mathieu Andreux

External control arms (ECA) can inform the early clinical development of experimental drugs and provide efficacy evidence for regulatory approval in non-randomized settings.

Causal Inference Federated Learning

MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models

1 code implementation25 Feb 2020 Imke Mayer, Julie Josse, Félix Raimundo, Jean-Philippe Vert

Inferring causal effects of a treatment, intervention or policy from observational data is central to many applications.

Causal Inference Imputation

Doubly robust treatment effect estimation with missing attributes

2 code implementations23 Oct 2019 Imke Mayer, Erik Sverdrup, Tobias Gauss, Jean-Denis Moyer, Stefan Wager, Julie Josse

We find, however, that doubly robust modifications of standard methods for average treatment effect estimation with missing data repeatedly perform better than their non-doubly robust baselines; for example, doubly robust generalized propensity score methods beat inverse-weighting with the generalized propensity score.

Methodology 93C41, 62G35, 62F35, 62P10

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