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I am a biostatistician working within the area of survival analysis and in particular on the development and application of statistical methods for cancer registry data.

My research focuses on statistical methods for understanding the underlying determinants that drive cancer inequalities in terms of survival as well as methods for improving communication of complex cancer statistics. This involves extensions of causal mediation analysis and developments in life expectancy measures for summarising the cancer prognosis.

I am the primary supervisor for PhD student Jonatan Hedberg, whose research focuses on developing statistical methods to address missing tumour stage data in survival analysis, particularly in the presence of time-varying effects.

Additionally, I am a co-supervisor for two other PhD students:

• Anna Oksanen: Anna's project investigates the loss of life expectancy among patients with malignant melanoma, with a focus on sex differences.
• Emma S枚reskog: Emma's project explores how register data can be utilized for health economic analysis of cancer treatment and prevention. This includes studies on how external data (beyond RCTs) can improve the extrapolation of survival in health economic evaluations.

I have been involved in teaching and course organising of:

• Survival analysis (Biostat III), within the Doctoral Programme in Epidemiology
• Biostatistics, Masters programme for Molecular Techniques in the Life Sciences
• Statistical Methods for Population-based Cancer Survival, a 1-week course as part of the Summer School on Modern Methods in Biostatistics and Epidemiology at Treviso, Italy
• Cancer epidemiology, Masters programme for Public Health Epidemiology
• Causal inference and competing events lectures