Upcoming webinars
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Speaker:
Yohann FOUCHERUniversité de Poitiers, CHU de Poitiers, CIC Inserm 1402 - Axe Scale-Epi (methodS in ClinicAL rEsearch and EPIdemiology)
Description :
In clinical practice, it is often useful to predict the probability that a subject will experience an event. A Super Learner makes it possible to combine different regression models and algorithms. We have proposed the R package “survivalSL”, which contains various functions for building a Super Learner in the presence of censored event-time data. Compared with existing solutions, we provide a large number of learners and loss functions. We conducted simulations to describe the performance of our approach and also illustrated its use in an application to multiple sclerosis.
Keywords: Censored data, prediction, survival, machine learning, super learning
Event date:
Friday 19 December 2025, from 11:00 to 12:00 , (Paris, Europe)Organisé par :
Professeur Roch GIORGI - Equipe QuanTIM-SESSTIMSpeaker:
Stéphanie ALLASONNIÈREUMR 1346, HeKA, Université Paris Cité, Inria, Inserm
Event date:
Friday 16 January 2026, from 11:00 to 12:00 , (Paris, Europe)Organisé par :
Professeur Roch GIORGI - Equipe QuanTIM-SESSTIMEvent date:
Friday 20 February 2026, from 11:00 to 12:00 , (Paris, Europe)Organisé par :
Professeur Roch GIORGI - Equipe QuanTIM-SESSTIMEvent date:
Friday 20 March 2026, from 11:00 to 12:00 , (Paris, Europe)Organisé par :
Professeur Roch GIORGI - Equipe QuanTIM-SESSTIMSpeaker:
Christian LAURENTUMR TransVIHMI (IRD, Inserm & Université de Montpellier)
Event date:
Friday 17 April 2026, from 11:00 to 12:00 , (Paris, Europe)Organisé par :
Professeur Roch GIORGI - Equipe QuanTIM-SESSTIMSpeaker:
Mathilde TOUVIERÉquipe de Recherche en Epidémiologie Nutritionnelle (CRESS-EREN), UMR U1153 Inserm / U1125 Inrae / Cnam / Université Sorbonne Paris Nord / Université Paris Cité
Event date:
Wednesday 13 May 2026, from 11:00 to 12:00 , (Paris, Europe)Organisé par :
Professeur Roch GIORGI - Equipe QuanTIM-SESSTIM
Description :
Stay tuned for all the information about the third edition of the PhD Student Award competition!
