Courses
Written by biostatisticians from their work on real studies. Free to work through, start to finish; the ones marked coming soon are not open yet.
Not sure where to start? See the routes through the courses →
Survival analysis
An introduction to concepts, methods & software
Taught by Hannah Bower-Kähäri, PhD
5.6 h · 10 lessons · 4 practicals
Self-paced · reading, no video
Free
See the course →
Immortal time
Person-time counted towards a treatment nobody was on yet — how to see it, measure it, and fix it two ways.
Taught by Michael Crowther, PhD
Self-paced · reading, no video
Dates to be confirmed
Register your interest →
Fitting models with merlin
One command, a grammar, and the models it lets you write.
Taught by Michael Crowther, PhD
reading, no video
Dates to be confirmed
Register your interest →
Longitudinal data and mixed-effects models
Measure the same person twice and the rows stop being independent. The model has to say so.
Taught by Michael Crowther, PhD
Self-paced · reading and video
Dates to be confirmed
Register your interest →
Introduction to causal inference
What a comparison of treated and untreated people can and cannot say.
Dates to be confirmed
Register your interest →
Version control with git
Keep every version of an analysis, share it, and go back.
Dates to be confirmed
Register your interest →
Reproducible documents with Quarto
One source for the analysis, the numbers and the report.
Dates to be confirmed
Register your interest →
Flexible parametric survival models
Estimate the shape of the hazard, and report something a patient could use.
Taught by Sara Ekberg, PhD
Self-paced · reading and video
Dates to be confirmed
Register your interest →
Competing risks
When more than one thing can happen first, and one of them stops the clock.
Taught by Michael Crowther, PhD
Self-paced · reading and video
Dates to be confirmed
Register your interest →
Multi-state models
More than one thing can happen, in more than one order, and people move between states rather than out of one.
Taught by Michael Crowther, PhD
Self-paced · reading and video
Dates to be confirmed
Register your interest →
Relative survival and excess hazard models
Measure what a cancer does to a population when nobody can tell you the cause of death.
Taught by Sara Ekberg, PhD and Michael Crowther, PhD
Self-paced · reading and video
Dates to be confirmed
Register your interest →
Multilevel and frailty survival models
Patients arrive in clusters and the clusters differ. A survival model that says nothing about that is answering a different question.
Taught by Michael Crowther, PhD
Self-paced · reading and video
Dates to be confirmed
Register your interest →
Joint modelling of longitudinal and survival data
A biomarker measured over time and an event it may be warning of, modelled together.
Taught by Michael Crowther, PhD
Dates to be confirmed
Register your interest →
Causal inference and survival analysis
Causal questions with time-to-event outcomes: what the hazard ratio is and is not.
Dates to be confirmed
Register your interest →
Advanced multi-state modelling
Two clocks at once, everything else a fitted model will answer, and the health-economic value layer — the arithmetic of it, not a course in health technology assessment.
Taught by Michael Crowther, PhD
Self-paced · reading and video
Dates to be confirmed
Register your interest →Tell us what you are trying to do
We run these through the year and design bespoke ones for teams. If the course you want is not here, saying so is what decides which one we write next.