We help clarify research questions, populations, exposures, and outcomes, and develop the methodological foundation for the analysis. This may include matched designs, cohort studies, case-control studies, as well as the preparation of protocols and analysis plans.

We provide guidance on relevant data sources, access to national Danish registry data, and the integration of registries, clinical data, survey data, or other collected datasets. Raw data is structured, validated, and transformed into analysis-ready datasets with clear definitions and documented methodology.

We conduct analyses tailored to each specific research question and agreed-upon study design – ranging from descriptive analyses and regression models to survival analyses, competing risk analyses, and cost-of-illness analyses. Our focus is always on methodological precision and results that are both understandable and actionable.

We translate analysis results into tables, figures, and methodological documentation that can be used as contributions to peer-reviewed scientific publications, posters, reports, and other presentations.