Biography

I am qualified in medicine in Burkina and worked as a clinician before entering methodological research. I completed in 2014 a Master of public heath (oriented in quantitative methods) and in 2018, a PhD in full-time in clinical research and public heath, both at Aix Marseille University, France. My PhD thesis topic was the extension of excess mortality analysis in to the field of clinical research. Previously, I worked in the SESSTIM research unit, as a biostatistician, mainly working on excess hazard and net survival methods in the field of clinical trials. I joined the Bourguignon Digestive Cancer Registry ( EPICAD team - UMR 1231) in January 2020 as a postdoctoral research fellow. Here is a link to my updated list of publications: Updated Publications LIST.

Interests

  • Cure models and time-to-cure
  • Excess hazard modeling
  • Survival analysis
  • Life tables
  • Statistical methods for disease mapping (e.g., cluster detection methods, Bayesian hierarchical modeling, multivariate disease mapping).
  • Statistical Software Development in R & C++

Education

  • PhD in Clinical research and public Health (option biostatistics), 2018

    Aix Marseille University

  • Master of Public Health (quantitative and econometric methods in health research), 2014

    Aix Marseille University

  • Doctor of Medicine, 2012

    Université de Ouagadougou

Experience

 
 
 
 
 

Postdoctoral research fellow

Université de Bourgogne

2020-01-01 – Present Dijon

Responsibilities include:

  • Propose new cure model
  • Model validation (Simulation study)
  • Packaging R code
 
 
 
 
 

Biostatistician

Aix Marseille University

2019-01-01 – 2019-12-31 Marseille, France

Developing adaptative statistical learning platform for statistical learning

Responsibilities include:

  • Automatic generation of simulated statistical exercices
  • Packaging R code

Accomplish­ments

Infection Prevention and Control (IPC) for Novel Coronavirus (COVID-19)

WHO Mar 2020

Data Science: Productivity Tools

edX Apr 2019 – Jun 2019
See certificate

Projects

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All Statistics Other

External Project

using Rpubs to present differences betwenn chisq.test() and prop.test() R functions via external_link.

Internal Project

See talks page.

Recent & Upcoming Talks and Posts

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Packages utiles library("parallel") library("foreach") library("microbenchmark") library("tidyverse") Contexte Supposons que l’on souhaite estimer la qualité de prédiction d’un modèle linéaire, ici un modèle linéaire pour la régression de la largeur d’une pétale sur une longueur sur le jeu de données iris de R.
Dec 5, 2019 R

Webinar on 'Estimation de la survie nette dans les essais cliniques - Intérêts des méthodes utilisées dans les études populationnelles'.

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Jun 17, 2016

Featured Publications

Thu, May 16, 2019 BMC Med Res Methodol., 19(104)

Correcting for misclassification and selection effects in estimating net survival in clinical trials

In conclusion, the new RBS model allows estimating net survival in clinical trials. It corrects the biases of cause-of-death misclassification and of selection effect on the expected mortality in the general population. This makes it particularly useful in clinical trials with long follow-ups. With the RBS model, the researcher obtains accurate estimates of the excess hazard and, therefore, of net survival; however, he/she should check the strong assumption of homogeneous selection. Finally, the RBS model paves the way for new methodological developments in the field of net survival methods in multicenter clinical trials.

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Selected Publications

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Juste Goungounga, Nathalie Grafféo, Hadrien Charvat, Roch Giorgi (2020). Correcting for heterogeneity and non-comparability bias in multicenter clinical trials with a rescaled random-effect excess hazard model. / working paper.

Project

Juste Goungounga, Célia Touraine, Nathalie Grafféo, Roch Giorgi, the CENSUR working survival group (2019). Correcting for misclassification and selection effects in estimating net survival in clinical trials. BMC Med Res Methodol., 19(104).

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Juste Goungounga, Roch Giorgi (2018). Commentary on 'Survival benefit of mantle cell lymphoma patients enrolled in clinical trials; a joint study from the LYSA group and French cancer registries'.. Journal of Cancer Research and Clinical Oncology., 144(2018).

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Juste Goungounga, Jean Gaudard, Marc Colonna, Roch Giorgi (2016). Impact of socioeconomic inequalities on geographic disparities in cancer incidence - comparison of methods for spatial disease mapping. BMC Med Res Methodol., 16(136).

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Juste Goungounga, Jean Gaudart, Marc Colonna, Roch Giorgi (2015). Impact des inégalités socioéconomiques sur les variations spatiales de l’incidence du cancer en Isère - comparaison de méthodes de détections de clusters spatiaux. In RESP.

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