Samuel Gruffaz from Tampere University - Markov Multistate Models for Cancer Screening: Challenges and Preliminary Results

par Samuel Gruffaz (Tampere University)

jeudi 22 oct. 2026, 13:00 → 14:00 Europe/Paris

amphi Louis (ISPED)

Speaker: Samuel Gruffaz from Tampere University

Title: Markov Multistate Models for Cancer Screening: Challenges and Preliminary Results 

Abstract: 

While early cancer detection and treatment can reduce cancer-specific mortality, cancer screening may also lead to overdiagnosis and overtreatment, particularly in prostate and breast cancer. Emerging technologies such as magnetic resonance imaging (MRI) and personalized screening strategies are expected to mitigate these drawbacks, but their clinical and population-level benefits remain to be fully demonstrated.

To evaluate the effectiveness and improve the efficiency of cancer screening programs, advanced statistical approaches such as joint models and multistate Markov models are increasingly used. However, these methods still face important methodological and computational challenges.

Samuel Gruffaz recently started the Marie Skłodowska-Curie Postdoctoral Fellowship "Markov for Screening" at Tampere University, within a research team conducting one of the largest recent national randomized controlled trials on prostate cancer screening. As part of the fellowship, he will also undertake a secondment at Bordeaux Population Health under the supervision of Cécile Proust-Lima.

In this presentation, he will discuss the key methodological challenges addressed by the project, present preliminary results, and highlight opportunities for future collaboration.

 

Calendar subscription link for the complete seminar series:
https://indico.math.cnrs.fr/category/711/events.ics

Program of the Biostatistics seminars:
https://indico.math.cnrs.fr/category/711/

Subscribe to the seminar mailing list:
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Former e-seminars on our YouTube channel (mostly in French): https://www.youtube.com/channel/UCURp-hEQL7k23UzGfqgEurA/videos

 

Biostatistics seminar series from the Department of Public Health from the University of Bordeaux and the Bordeaux Population Health UMR 1219 research center