Onboarding

Here we would love to show a collection of good advices and intro-material for new members of the research group.

At the moment it is very rudimentary, but away you go!

Teams

The group has a team chat and space on Microsoft Teams. If you’re not already a member, please apply here.

Learning programming

For a reproducible data management, analyses, visualisation and writing, programming is the way to go. R covers the whole spectrum, but you can also use different programs for each step.

There is a plethora of resources for learning programming for use in health science and it can be difficult to decide where to start. In this group the preferred languages are Stata or R.

Exercism is a great place to start for open languages (not Stata, but R, Python, Julia or something more exotic), where everything can run in the browser and you don´t need to download anything. You can track your progress and get hints. It’s also a great place to practice after you got the hang of the basics, remembering the Law of the instrument:

“If the only tool you have is a hammer, it is tempting to treat everything as if it were a nail.”

On reproducible writing

Here are some advices on academic writing in RStudio (the very popular R editor, that does much more than just that) with Quarto: Some Quarto PDF formatting tips, with particular reference to thesis writing

On writing the dissertation

Ugeskrift for Læger (The Danish Medical Association) has published an article and a template on writing the PhD-dissertation. Read the article here.