Multi-state models
Multi-state models allow us to model complex disease processes over time. Through the modelling of transitions between disease states, accounting for competing events at each transition, we can gain a much richer understanding of patient trajectories and how risk factors impact over the entire disease pathway
- Specialist training course
- Experienced faculty
- Carefully designed curriculum
- Lectures combining methods and examples
- Hands-on practical sessions
Join us for an introduction to the methods, estimation, prediction and software, of competing risks and multi-state modelling
Course curriculum
- Introduction to survival data
- Flexible parametric survival models
- Modelling competing risks
- Estimating cumulative incidence functions
- Introduction to multi-state models
- The Markov assumption
- Shared and separate transition models
- Quantifying covariate effects
- Estimating length of stay
- Reporting of competing risks and multi-state analyses
Choose your flavour
Online
- Fully integrated online training course
- Access recorded lectures and practical walkthroughs
- Download lecture slides and practical sessions
- Monitored discussion boards to answer all your questions
- Visit our online training store to register (coming Autumn 2022)
In person
- Live online or in person training
- Commission anything from a one-hour overview, to a three-day deep dive into competing risks and multi-state modelling
- Get in touch to book
NEWS: This course will be running at the Swiss Winter Epidemiology School in Wengen, January 2023 – find out more
Instructors
Michael Crowther, PhD
Course lecturer
Read more about Michael
Caroline Weibull, PhD
Course lecturer
Read more about Caroline