HNN3.0

Project cooperationUpdated on 22 January 2026

Consulting on statistical considerations for the design of clinical studies

Full Professor at Computational Data Science Laboratory at University of Granada

Granada, Spain

About

  • Statistical Experimental Design and Data Sampling methodology.

  • Power Analysis through computational means to compute the sample size (n) and the optimal number of levels, e.g., repeated measures, replicates,

  • Handling complex data and challenging experimental situations (missing data, outliers, complex distributions)

  • We outsource wet-lab services to our partners, ensuring proper quality control.

The CoDaS Lab transfers its technology through Datharsis (datharsis.com), start-up of the University of Granada. You can outsource consulting services to this company.

Topic

  • DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-01: Towards a better understanding and anticipation of the impacts of climate change on health
  • DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-04: Towards climate resilient, prepared and carbon neutral populations and healthcare systems
  • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-02: Innovative interventions to prevent the harmful effects of using digital technologies on the mental health of children and young adults
  • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
  • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
  • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing

Attached files

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