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 Summer 2023)
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
Instructors
Michael Crowther, PhD
Course lecturer
Read more about Michael
Caroline Weibull, PhD
Course lecturer
Read more about Caroline
Find out more
Red Door Analytics AB is a registered company in Sweden
CEO: Michael Crowther
Org. number: 559351-8359
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