Marianne Riksheim Stavseth

Marianne Riksheim Stavseth serves as a Researcher and Statistician within the Faculty of Medicine at the University of Oslo, currently employed as a postdoctoral fellow on the PriSUD project where she leads data processing and analysis for drug-assisted rehabilitation research.

Her academic credentials include:

• Bachelor of Science in Medical Statistics from the Norwegian University of Science and Technology (NTNU)
• Master of Science in Statistics from NTNU, with thesis research simulating breast cancer tumor growth dynamics and screening frequency impacts on detection
• Doctor of Philosophy (PhD) awarded in 2019 based on analysis of annual status surveys from Norway's Drug-Assisted Rehabilitation (OMT) program

Marianne specializes in biostatistics with deep expertise in medical applications, particularly cancer research methodology. Her work bridges complex statistical theory and clinical practice through simulation modeling of disease progression, innovative missing data solutions, and robust covariate selection frameworks for regression analysis. She actively translates technical concepts for medical professionals through her regular contributions to the 'Tall og medisin' (Numbers and Medicine) column in the Journal of the Norwegian Medical Association, reflecting her original teaching aspirations.

Her publication record demonstrates focused contributions to methodological challenges in medical statistics, specifically addressing missing data treatment and covariate selection strategies. These works establish her as a specialist in enhancing statistical rigor within clinical and epidemiological research contexts, though the available information indicates limited publication output beyond these two key articles.

Marianne's current research is centered on the PriSUD project at the University of Oslo, where she applies advanced statistical techniques to analyze patient outcomes in drug rehabilitation programs. This initiative represents her primary research affiliation and operational focus within the Faculty of Medicine's research ecosystem.