Are you applying survival analysis methods, and do you want to extend your skills? Then register to our Advanced Survival Analysis course to learn state-of-the-art techniques from international experts.
Our comprehensive 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. Our 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!
Further information about the course content can be found here.
Course staff
Course coordinators:
- Hein Putter (Leiden University Medical Center)
- Liesbeth de Wreede (Leiden University Medical Center)
Course instructors:
- Liesbeth de Wreede (Leiden University Medical Center)
- Hein Putter (Leiden University Medical Center)
- Maja Pohar Perme (University of Ljubljana, Slovenia)
- Sara Baart (Erasmus Medical Center, Rotterdam)
- Nan van Geloven (Leiden University Medical Center)
- Edouard Bonneville (Leiden University Medical Center)
Further information about the instructors can be found here.
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.
Course prices
- Academic participants, early registration (before 15/06/2024): €1300 (ISCB members €1250)
- Academic participants, late registration: €1550 (ISCB members €1500)
- LUMC affiliated: €750
- Non-academic participants: €1700 (ISCB members €1650)
The cancellation policy can be found here.
Testimonials from those attending in 2023
“It was very well structured with lectures and practicals in between. The course was highly informative - also the solutions to the practicals in the HTML format were amazing- thank you so much!”
“The wide range of models for different situations gave me lots of inspiration of different things to use. The constant use of examples from applications really brought that to light as well.”
“great course, great enthusiasm, great teachers, and most of all how approachable lecturers were”
“I loved the lectures - they were at the perfect level of detail and mathematical overview without being too superficial nor too theoretical. The organization and order of which lectures followed each was also very thoughtful.”
Registration
To register for the course, please fill in the form found via this link:
https://forms.lumc.nl/lumc2/registration-advanced-survival-course-2024
Note that the number of places is limited and will be allocated on a first-come-first-serve basis. Your registration will be confirmed within 3 weeks.
Contact
If you have any questions regarding the course, feel free to send an e-mail to Ms. Leonie Oudshoorn at: statistics “at” lumc.nl, stating “ASA” in the subject line.