I started my PhD project "The attributable fraction in causal inference and genetics" in June 2015. My supervisors are Arvid Sjölander and Yudi Pawitan.
My PhD project is to develop the attributable fraction as a causal measure. The attributable fraction measure the proportion of some disease that could have been prevented in a population had some harmful exposure that cause the disease been eliminated. The attributable fraction has been a popular measure in epidemiology and public health since it was defined in the 1950s. However, the attributable fraction is a causal measure since we have to assume that the exposure cause the disease. This is the starting point of my PhD project with the overall aim to:
- improve the conceptual understanding of the attributable fraction as a causal measure
- develop methods for using family or clustered data to adjust for unmeasured confounding and estimate absolute effects
- develop sensitivity analysis for unmeasured confounding for the attributable fraction which allow for continous covariates
- improve the conceptual understanding of heritability by connecting heritability with the attributable fraction and develop a method for estimating the attributable fraction based on heritability
- implement my method developments in my R package "AF"
Since 2012 I have regularly been a teaching assistant for different basic statistics courses. Except the basic statistics courses I have been a teaching assistant in
- survival analysis (Biostatistics III)
- scientific theory for medical students (VetU)
- introduction to R
- epidemiology (Epidemiology II)
- Bachelor in Political science – Uppsala University (2008-2011)
- Bachelor in Statistics– Uppsala University (2009-2012)
- MSc in Statistics– Uppsala University (2012-2014)
- Doctoral student in Biostatistics - Dept. of Medical Epidemiology and Biostatistics, Karolinska Institutet (2015- present)