RDA Winter School 2025
The third edition of the RDA Winter School in Stockholm — two concurrent courses on causal inference in survival analysis and on competing risks & multi-state models.
What this course covers
Past edition
The third edition of the RDA Winter School offered two concurrent courses on advanced survival analysis methods. Participants could choose causal inference in survival analysis (2 days) or competing risks and multi-state models (3 days), or attend both for a full week of intensive training in Stockholm.
The school ran 17-21 November 2025 at Forskaren, Hagaesplanaden 49, Stockholm. Registration for the 2025 edition has closed; contact us to be notified about future editions.
Full course title: Red Door Analytics Winter School 2025
At a glance
What you'll learn
Course 1 · Causal inference
Introduction to causal inference and to causal inference in survival analysis — potential outcomes, DAGs, identification assumptions, regression standardisation, and causal estimands.
Course 2 · Competing risks
Risk prediction with competing risks, on flexible parametric survival models with restricted cubic splines.
Course 2 · Multi-state models
Multi-state models over two days — disease pathways, time-dependent effects, clinical predictions, and the Markov assumption.
Audience & prerequisites
Who it's for
Epidemiologists, statisticians, physicians, public health specialists or anyone with an interest in advanced survival analysis.
Prerequisites
Basic knowledge of the fundamentals of epidemiology and biostatistics, and comfort fitting statistical models (e.g. logistic, Poisson, or Cox regression). Previous familiarity with the basics of survival analysis is recommended.