Multi-state survival analysis
An introduction to the concepts, methods, and software of multi-state survival analysis — modelling complex disease pathways and the transitions between states.
What this course covers
Register interest
Multi-state models extend survival analysis to settings where individuals move between several states over time — for example healthy, ill, and dead — capturing complex disease pathways and the transitions between them.
This introductory course covers the concepts, methods, and software for multi-state survival analysis. Full course details are being finalised — register your interest to be notified when enrolment opens.
Full course title: Multi-state survival analysis: An introduction to concepts, methods & software
Try it in your browser: the multi-state & competing-risks explorer — illness–death and progression models with live state occupancy and time-in-state.
At a glance
What you'll learn
Multi-state framework
The multi-state modelling framework — states, transitions, and transition-specific hazards.
Transition probabilities
Estimating and predicting transition probabilities across a state space.
Clinical predictions
Length of stay and clinically useful predictions from a fitted multi-state model.
Audience & prerequisites
Who it's for
Epidemiologists, statisticians, physicians, public health specialists or anyone with an interest in methods for multi-state survival analysis.
Prerequisites
A working knowledge of standard survival analysis (survival functions, Kaplan-Meier, Cox regression) is recommended.