Research

Current projects

I am currently pursuing three research projects:

Properties of score tests for generalized linear models with missing covariates
The extreme phenotype sampling design for genetic association studies; why it works, when it does not work and potential issues with genomewide association studies
Pedagogical research: I am analysing survey data on learning goals and attitudies towards mathematics among first-year students at NTNU, as well as student opinion surveys regarding the preference for and use of various learning resources in statistics.

Bjørnland, T., Bye, A., Ryeng, E., Wisløff, U., Langaas, M.. Powerful extreme phenotype sampling designs and score tests for genetic association studies. Statistics in Medicine. 2018; 37: 4234– 4251. https://doi.org/10.1002/sim.7914
Bjørnland, T., Langaas, M., Grill, V., Mostad, I.L. (2017) Assessing gene-environment interaction effects of FTO, MC4R and lifestyle factors on obesity using an extreme phenotype sampling design: Results from the HUNT study. PLOS ONE 12(4): e0175071. https://doi.org/10.1371/journal.pone.0175071
Gilly, A., Suveges, D., Kuchenbaecker, K. et al. Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits. Nat Commun 9, 4674 (2018). https://doi.org/10.1038/s41467-018-07070-8

Gilly, A., Park, Y-C., Png, G., Barysenka, A., Fischer, I., Bjornland, T., Southam, L., Suveges, D., Neumeyer, S.N., Rayner, W., Tsafantakis, E., Karaleftheri, M., Dedoussis, G., Zeggini, E. Whole genome sequencing analysis of the cardiometabolic proteome. bioRxiv 854752; doi: https://doi.org/10.1101/854752

An R package for hypothesis testing (using the score test) and parameter estimation with the extreme phenotype sampling design.