Sykdomspulsen has published a short course that teaches students to run “normal regressions” in situations where the data structure would ordinarily prohibit you from running regression models. These situations mostly pertain to clusters of correlated data.
You can find the course “Longitudinal Analysis for Surveillance” in the Learning page.
When dealing with longitudinal data, there are two kinds of analyses that can be performed:
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/sykdomspulsen-org/sykdomspulsen-org.github.io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
White (2022, Jan. 24). Sykdomspulsen: New Course: Longitudinal Analysis for Surveillance. Retrieved from https://docs.sykdomspulsen.no/posts/2022-01-24-new-course-longitudinal-analysis-for-surveillance/
BibTeX citation
@misc{white2022new, author = {White, Richard Aubrey}, title = {Sykdomspulsen: New Course: Longitudinal Analysis for Surveillance}, url = {https://docs.sykdomspulsen.no/posts/2022-01-24-new-course-longitudinal-analysis-for-surveillance/}, year = {2022} }