SWE-REG: Statistical Methods for Register-based Research

SWE-REG is short for the Swedish network for registry-based research. This is a research network funded by the Swedish Research Council to create an environment for research on the development and evaluation of statistical methods for register-based research.

Our research is in four primary areas:

1. Extend methods for survival and multi-state models to use rich register data better when modelling complex time-to-event outcomes;
2. Develop methods for causal inference from register data in the presence of unmeasured confounding;
3. Adapt machine learning methods to survival outcomes for register data
4. Develop and apply statistical methods for the analysis of ‘big’ register data

SWE-REG is short for the Swedish network for registry-based research. If you are interested in contributing to our research or believe that our methods may be of use in your application area, please contact us.

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