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Coming soon9 lectures · 3 practicals · 6.2 h

Multi-state models

More than one thing can happen, in more than one order, and people move between states rather than out of one.

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What you will be able to do

  • Draw a state space and its transition matrix, and say which transitions are possible
  • Reshape a dataset into one row per transition at risk, and check what msset inferred
  • Fit a transition intensity per transition, and read what each one is conditional on
  • Choose between a Markov and a semi-Markov clock, and say what each assumes about the hazard out of the intermediate state
  • Predict transition probabilities and expected time in each state from the fitted intensities, and run the checks that make them readable
  • Estimate and report state occupancy over time, and say what it does and does not claim

Before you start

Curriculum

12 steps: 9 lectures and 3 practicals.

Provisional — this course is still being written, and the outline will change.

Week 1 · the state space, and moving through it

  • 01WatchCompeting risks as the simplest multi-state model24 min
  • 02WatchThe illness-death model22 min
  • 03WatchReshaping the data, and checking what msset inferred26 min
  • 04PracticalPractical 1 · reshaping, and the two denominators45 min

Week 2 · the transitions, and the clock each one runs on

Opens 7 days after you start.

  • 05WatchTransition intensities and state occupancy28 min
  • 06WatchOne model per transition26 min
  • 07WatchWhich clock: Markov and semi-Markov28 min

Week 3 · what the fitted model predicts

Opens 14 days after you start.

  • 08WatchTransition probabilities: where somebody is at time t26 min
  • 09WatchLength of stay in each state24 min
  • 10PracticalPractical 2 · transition probabilities at five years50 min
  • 11PracticalPractical 3 · length of stay in each state50 min

Week 4 · reporting a multi-state analysis

Opens 21 days after you start.

  • 12ReadReporting a multi-state analysis22 min

Self-paced · On demand

Free

Access for 12 months

Assessed track available alongside the open one. Three attempts at each practical, and a credential you can link to.

The course is still being written. It opens here when it is ready.

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What this course contains

  • Self-paced: start when you like and work through it in your own time.
  • 9 lessons, 8 of them video.
  • 3 practicals, marked on your own data.

Ways to take this course

  • LearnFirst lesson and practical free
  • CertifiedFee announced with the date
  • TaughtFee announced with the date
  • TeamOn request

How the four ways differ →

Not open yet

Register your interest

We will email you as soon as it opens. Nothing else, and nobody else.

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Academy
RDA suite