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.
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6 of 15 courses
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
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Introduction to causal inference
What a comparison of treated and untreated people can and cannot say.
Dates to be confirmed
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Reproducible documents with Quarto
One source for the analysis, the numbers and the report.
Dates to be confirmed
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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
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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 →
Causal inference and survival analysis
Causal questions with time-to-event outcomes: what the hazard ratio is and is not.
Dates to be confirmed
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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.