This is a template repository for making new OpenSAFELY resarch projects. Eventually it'll become a framework. To get started, create a new repo using this repo as a template, delete this front matter, and edit the text that follows.
This is the code and configuration for our paper, name goes here
- The paper is here
- Raw model outputs, including charts, crosstabs, etc, are in
released_analysis_results/ - If you are interested in how we defined our covarates, take a look at the study definition; this is written in
python, but non-programmers should be able to understand what is going on there - If you are interested in how we defined our code lists, look in the codelists folder.
- Developers and epidemiologists interested in the code should review DEVELOPERS.md.
The OpenSAFELY framework is a new secure analytics platform for electronic health records research in the NHS.
Instead of requesting access for slices of patient data and transporting them elsewhere for analysis, the framework supports developing analytics against dummy data, and then running against the real data within the same infrastructure that the data is stored. Read more at OpenSAFELY.org.
The framework is under fast, active development to support rapid analytics relating to COVID19; we're currently seeking funding to make it easier for outside collaborators to work with our system. You can read our current roadmap here.