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Register-based research

Everything Red Door Analytics has published on register-based research — the packages that fit it, the tools that show it, the tutorials that work it through, and where it decided something.

Analysis built on national registers, where the cohort is a whole population and follow-up is near-complete. The strengths and the traps both come from data collected for another purpose entirely.

Also called registry-based research, real-world data.

Register-based research: Each row is one person in a register cohort, on their own clock from cohort entry.
Each row is one person in a register cohort, on their own clock from cohort entry. Entry is staggered and the data close on one date, so follow-up lengths differ; a tick marks a death. The bold part of a line is time on treatment, and the shaded box before it is time an ever-treated analysis would wrongly count as treated. That is immortal time, and a register study avoids it in the design, before any model is fitted.
Worked through2
What is immortal time bias? What is real-world evidence?
The evidence67
67 papers in total — the full list.

Working on register-based research?

We do this every week — as a collaborator on your study, or as the people who wrote the software you are using.

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