Selected publications

  • A. Ghosh, E. Ponzi, T. Sandanger, M. Thoresen. Robust Sure Independence Screening for Non-polynomial dimensional Generalized Linear Models. Scandinavian Journal of Statistics 2023. 50: 1232-1262.

  • V. Djordjilovic, J. Hemerik, M. Thoresen. On optimal two-stage testing of multiple mediators. Biometrical Journal 2022, 64: 1090-1108.

  • E. Ponzi, M. Thoresen, T. H. Nøst, K. Møllersen. Integrative, multi-omics analysis of blood samples improves model predictions: applications to cancer. BMC Bioinformatics 2021, 22: 395.

  • A. Ghosh, M. Thoresen. A robust variable screening procedure for ultra-high dimensional data. Statistical Methods in Medical Research 2021, 30: 1816-1832.

  • J. Hemerik, M. Thoresen, L. Finos. Permutation testing in high-dimensional linear models: an empirical investigation. Journal of Statistical Computation and Simulation 2021, 91: 897-914.

  • V. Djordjilovic, C.M. Page, J.M. Gran, T.H. Nøst, T.M. Sandanger, M.B. Veierød, M.Thoresen. Global test for high-dimensional mediation: Testing groups of potential mediators. Statistics in Medicine 2019, 38: 3346-3360.

  • H. Fanaee-T, M. Thoresen. Multi-insight visualization of multi-omics data via ensemble dimension reduction and tensor factorization. Bioinformatics 2019, 35: 1625-1633.

  • A. Ghosh, M. Thoresen. Non-Concave Penalization in Linear Mixed-Effects Models and Regularized Selection of Fixed Effects. Advances in Statistical Analysis 2018, 102: 179-210.
  • Ø. Sørensen, A. Frigessi, K. Hellton, M. Thoresen. Covariate selection in high-dimensional generalized linear models with measurement error. Journal of Computational and Graphical Statistics 2018, 27: 739-749.
  • K. Hellton, M. Thoresen. When and why are principal component scores a good tool for visualizing high-dimensional data? Scandinavian Journal of Statistics 2017, 44: 581-597.
  • J. Buonaccorsi, A. Prochenka, M. Thoresen, R. Ploski. Correcting for binomial measurement error in predictors in linear regression with application to DNA methylation data. Statistics in Medicine 2016, 35: 3987-4007.
  • K. Hellton, M. Thoresen. Integrative clustering of high-dimensional data with joint and individual clusters Biostatistics 2016, 17: 537-548.
  • Ø. Sørensen, A. Frigessi, M. Thoresen. Measurement error in lasso: impact and bias correction. Statistica Sinica 2015, doi:10.5705/ss.2013.180.
  • K. Hellton, M. Thoresen. The impact of measurement error on principal component analysis. Scandinavian Journal of Statistics 2014, 41: 1051-1063.
Published Feb. 24, 2011 8:29 PM - Last modified Oct. 24, 2023 2:54 PM