EMPLEO | Contrato Postdoctoral Torres Quevedo – Inteligencia Artificial en el sector energético.
28 November 2025CONCURSO | 4ª Edición Solo de Ciencia_FECYT
2 December 2025EMPLEO | Contrato Postdoctoral Torres Quevedo – Inteligencia Artificial en el sector energético.
28 November 2025CONCURSO | 4ª Edición Solo de Ciencia_FECYT
2 December 2025DESCRIPTION
Advanced Survival Analysis course 2026. Leiden, the Netherlands (12–16 January 2026)
If you’re already using survival analysis and want to deepen your skills, this course might be a good fit. We’ll build on standard tools and move into more advanced topics, for example: non-proportional hazards and time-dependent covariates, competing risks and multi-state models, landmarking, joint models and dynamic prediction, pseudo-observations, frailty models, relative survival, missing data, and informative censoring. There is a strong focus on hands-on work in R using real clinical data.ç
This course will build on standard tools for survival outcomes: the Kaplan-Meier estimator of the survival curve, the log-rank test for testing equality of survival curves and the Cox proportional hazards regression model. For many common situations these techniques do not suffice, e.g., when more than one event is considered, when the effects of risk factors or treatments change over time, when patients are clustered in groups or when a patient population is compared to the general population. We offer methods for statistical modeling in these settings. This course delves deeper into a wide range of more specialized topics: non-proportional hazards and time-dependent covariates, competing risks and multi-state models, joint models, landmarking and dynamic prediction, pseudo-observations, frailty models, relative survival, missing data and informative censoring.
There will be a balance between concepts, mathematics, implementation (computer practicals based on the programming language R) and interpretation. The majority of clinical examples discussed come from the collaborative work of the teachers with clinicians. You will gain hands-on experience with real clinical data in computer practicals to master the methods.
After the course you will have the tools to tackle complex time-to-event problems!
COURSE INSTRUCTORS
- Liesbeth de Wreede (Leiden University Medical Center)
- Hein Putter (Leiden University Medical Center)
- Maja Pohar Perme (University of Ljubljana, Slovenia)
- Pedro Miranda-Afonso (Erasmus University Medical Center, Rotterdam)
- Nan van Geloven (Leiden University Medical Center)
- Edouard Bonneville (LMU Munich, Germany)
LOCATION
The course will take place at the Meeting & Event Center of Fletcher Wellness-Hotel Leiden, with excellent conference and catering facilities, very conveniently located next to Leiden Central Station.
Lunch will be included, except on Wednesday, when a free afternoon is scheduled. A joint dinner on Monday evening in the historic city center is included. More detailed information about the schedule and location will be provided upon registration.