Statistical methods for cancer patient survival – Therese Andersson's research group

We develop and apply statistical methods for quantifying cancer patient survival, especially methods for estimating life expectancy following cancer and the loss in life expectancy. The focus of our work is on population-based measures, and we apply the methods to cancer registry data and other register-based data.

Sketch of the Wargentin building, KI Campus Solna

We are a group of biostatisticians who have an interest in survival analysis, and especially cancer patient survival. We develop statistical methods, and collaborate closely with clinicians and epidemiologists to answer important research questions using appropriate methodology. 

We work mainly in the area of relative survival, a framework where cancer patient survival is estimated without requiring cause of death information. Within this framework we also develop novel methods for estimating metrics with more intuitive interpretation compared to traditional measures  such as the life expectancy and loss in life expectancy for cancer patients. The data we use is primarily register-based, and we have extensive experience in cancer registry data from different countries. A large part of our work focuses on comparing cancer prognosis between different population groups and across countries.  


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Staff and contact

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Visiting address

Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Nobels väg 12A, Stockholm, 171 77, Sweden

Postal address

Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, PO Box 281, Stockholm, 171 77, Sweden