Jag påbörjade mitt doktorandprojekt med titeln "The attributable fraction in causal inference and genetics" i juni 2015 och mina handledare är Arvid Sjölander och 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)