PhD Engineer

Subject: Biostatistics


R&D engineer at IDBC since 2013 first as part of a CIFRE thesis then as part of LabCom RISCA (public-private partnership between the company IDBC and the SPHERE team, www.labcom-risca.com) . I am responsible for the development of Plug-Stat, a statistical analysis software for health data (cohorts, registers). My areas of research relate to the analysis of observational data (causal inference, machine learning, time-dependent ROC curves).

Illustration 'About-us'


Causal inference
Machine Learning
Adjusted ROC curves
Observational data


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Award of Excellence for poster communication - Plug-Stat: a new statistical software tailor-made for better valorisation of cohort data (EPICLIN)


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G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes. 

Le Borgne F, Chatton A, Léger M, Lenain R, Foucher Y.

Sci Rep.
2021 Jan 14;11(1):1435.
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Standardized and weighted time-dependent receiver operating characteristic curves to evaluate the intrinsic prognostic capacities of a marker by taking into account confounding factors. 

Le Borgne F, Combescure C, Gillaizeau F, Giral M, Chapal M, Giraudeau B, et al.

Stat Methods Med Res. 
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G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study. 

Chatton A, Le Borgne F, Leyrat C, Gillaizeau F, Rousseau C, Barbin L, et al.

Sci Rep. 
2020 Jun 8;10(1):9219.
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Lack of impact of pre-emptive deceased-donor kidney transplantation on graft outcomes: a propensity score-based study. 

Foucher Y, Le Borgne F, Legendre C, Morelon E, Buron F, Girerd S, et al.

Nephrol Dial Transplant. 
2019 May 1;34(5):886–91.
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Comparisons of the performance of different statistical tests for time-to-event analysis with confounding factors: practical illustrations in kidney transplantation. 

Le Borgne F, Giraudeau B, Querard AH, Giral M, Foucher Y.

Stat Med. 
2016 Mar 30;35(7):1103–16.
Illustration publications

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