RDA Winter School 2024
The second edition of the RDA Winter School in Stockholm — population-based cancer survival analysis, and joint modelling of longitudinal and survival data.
What this course covers
Past edition
The second edition of the RDA Winter School ran 18-22 November 2024 at the Elite Palace Hotel in Stockholm, featuring two intensive courses on advanced statistical methods in survival analysis and epidemiology.
Course 1 covered statistical methods for population-based cancer survival analysis (3 days; Paul Dickman, Sandra Eloranta, Caroline Dietrich); Course 2 covered joint modelling of longitudinal and survival data (2 days; Michael Crowther, Alessandro Gasparini, Sara Ekberg). This edition has concluded and registration is closed.
Full course title: Red Door Analytics Winter School 2024
At a glance
What you'll learn
Cancer survival (Course 1)
Population-based cancer survival analysis — competing risks, net and cause-specific survival, relative survival, and excess mortality.
Flexible parametric models
Flexible parametric (Royston-Parmar) survival models applied to cause-specific and excess mortality, loss in expectation of life, and regression standardisation.
Joint modelling (Course 2)
Two-stage and full joint models — framework, assumptions, estimation, model building, and predictions.
Dynamic predictions & extensions
Dynamic predictions, model evaluation, and extensions including multiple longitudinal outcomes and competing risks.
Audience & prerequisites
Who it's for
Epidemiologists, statisticians, physicians, public health specialists or anyone with an interest in cancer patient survival and advanced survival analysis.
Prerequisites
Basic knowledge of the fundamentals of epidemiology and biostatistics, and comfort fitting statistical models such as logistic or Cox regression. Previous knowledge of basic survival analysis concepts is recommended.