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Paul Trichelair

Showing results (1-10 of 4) with videos related to

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Trials|June 6, 2023
More efficient and inclusive time-to-event trials with covariate adjustment: a simulation studyRaphaëlle Momal, Honghao Li, Paul Trichelair, et al.
BMC Medical Research Methodology|December 28, 2022
External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learningNicolas Loiseau, Paul Trichelair, Maxime He, et al.
European Heart Journal. Digital Health|January 30, 2023
Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial dataAdrien Rousset, David Dellamonica, Romuald Menuet, et al.
Nature Communications|January 28, 2021
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patientsNathalie Lassau, Samy Ammari, Emilie Chouzenoux, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Trials|June 6, 2023
More efficient and inclusive time-to-event trials with covariate adjustment: a simulation studyRaphaëlle Momal, Honghao Li, Paul Trichelair, et al.
BMC Medical Research Methodology|December 28, 2022
External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learningNicolas Loiseau, Paul Trichelair, Maxime He, et al.
European Heart Journal. Digital Health|January 30, 2023
Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial dataAdrien Rousset, David Dellamonica, Romuald Menuet, et al.
Nature Communications|January 28, 2021
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patientsNathalie Lassau, Samy Ammari, Emilie Chouzenoux, et al.
Pageof 1