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Competing Risks

Unmasking bias in your survival analysis
Unmasking bias in your survival analysis Competing risks methods are advanced statistical approaches designed to analyze multiple events that may simultaneously impact a patient, using methods such as cumulative incidence...

Webinars

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Webinaire #14 : Accès Dérogatoires, rappel du dispositif et retours d’expérience/leviers de réussite

2 April 2026

Webinaire #13 : Comment valoriser les données de son entrepôt de données de santé hospitalier ?

18 September 2025

Webinaire#12 : Optimiser sa modélisation économique et organisationnelle

9 April 2025

Webinar #11 : Optimiser le potentiel des données primaires et du SNDS

8 October 2024

Webinaire #10 : Le potentiel des données primaires couplées aux données du SNDS

6 June 2024

Webinaire #9 : Open Data en santé : exploitation et utilité en France

2 March 2024

Webinar #8 : Identifying and visualizing care pathways: what are the benefits of AI?

15 June 2023

Webinar #7 : French Claims database

17 March 2023

Webinar #6 : When Artificial Intelligence meets epidemiology: use cases for RWE/RWD

6 December 2022

Webinar #5 : Missing confounding factors

22 October 2022

Webinar #3: Getting to grips with survival analysis

Webinar #4: How to identify and visualize care paths?

Machine Learning in practice: the discovery of patient profiles

Webinar #1: How to reconstruct processing lines with the SNDS?

Access to the SNDS

Webinar #2: How to use French Healthcare Claims Data in Health Technology Market Access

What is Process Mining and how can it be applied to healthcare data?