The intelligent digital guideline editor (IDEAL): applying causal inference to evidence generation using emulated clinical trials

Description

The focus of the project IDEAL is the development of a methodology to use causal inference and adaptive statistical procedures to simplify the planning of efficient clinical studies and to be able to quickly integrate their results into existing guidelines using a digital guideline editor.

Funding period

Begin:   September 2021
End:   December 2024

Sponsor

  • U Bremen Research Alliance

Contact

Prof. Dr. rer. nat. Vanessa Didelez

Project management (national)

Dr. Max Westphal, Fraunhofer MEVIS, Bremen, Deutschland

Link

UBRA - AI Center for Health Care

Selected project-related publications

    Presentations at scientific meetings/conferences

  • Frielinghaus M, Didelez V. Estimating and interpreting causal effects under violation of positivity. 11th Autumn Workshop of the DGEpi (German Society for Epidemiology), GMDS (German Association for Medical Informatics, Biometry and Epidemiology), IBS-DR (German Region of the International Biometric Society) and DGSMP (German Society for Social Medicine and Prevention), 9-10 November 2023, Mainz.
  • Geers M, Didelez V. Estimating and interpreting causal effects under violation of positivity. 5th Conference of the Central European Network (CEN), 3-7 September 2023, Basel, Switzerland.
  • Posters at scientific meetings/conferences

  • Geers M, Didelez V. Estimating and interpreting causal effects under violation of positivity. 5th European Causal Inference Meeting (EuroCIM), 18-21 April 2023, Oslo, Norway.