PhD students

Main supervisor
  • Guilherme Barros. Department of Statistics, USBE, Umeå University, Umeå, Sweden. Thesis defense February 2, 2024. Thesis title: Estimation of hazard ratios from observational data with applications related to stroke.
Co-supervisor
  • Josline Otieno. Department of Statistics, USBE, Umeå University, Umeå, Sweden. Admitted October 2021. Topic: Prediction of stroke outcome using machine learning.
  • Niloofar Moosavi. Department of Statistics, USBE, Umeå University, Umeå, Sweden. Thesis defense October 7, 2022. Thesis title: Valid causal inference in high-dimensional and complex settings.
  • Gabriel Wallin. Department of Statistics, USBE, Umeå University, Umeå, Sweden. Thesis defense January 17, 2020. Thesis title: Extensions of the kernel method of test score equating.
  • Robin Myte. Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden. Thesis defense October 12, 2018. Thesis title: Metabolic Risk Factors and Molecular Subtypes of Colorectal Cancer.

Master students

  • Robin Myte. Thesis title: One Carbon Metabolites and the Risk of Colorectal Cancer: Estimation of marginal odds ratios in a matched case-control study (2014). Department of Statistics, USBE, Umeå University.

Bachelor students

  • Philip Sjöberg and Robin Strandlund. Thesis title: Predicting the area of industry – Using machine learning to classify SNI codes based on business descriptions, a degree project at SCB (2019). Department of Statistics, USBE, Umeå University.
  • Robin Myte. Thesis title: Covariate Selection for Colorectal Cancer Survival Data: A comparison case study between Random Survival Forests and the Cox Proportional-Hazards model (2013). Department of Statistics, USBE, Umeå University.
  • Per Arvidsson and Samuel Snickars. Thesis title: Molecular classification of colorectal cancer – PAM-cluster analysis for identification of subgroups (2012). Department of Statistics, USBE, Umeå University.