Kjetil Røysland

Dynamic path analysis – a useful tool to investigate mediation processes in clinical survival trials

Ørnulf Borgan, Odd O Aalen, Susanne Strohmaier, 2015, Statistics in medicine.

Time‐dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model

Vanessa Didelez, Odd O Aalen, Kjetil Røysland, 2019, Biometrical journal. Biometrische Zeitschrift.

Causality, mediation and time: a dynamic viewpoint

Odd O Aalen, Bruno Ledergerber, Jon Michael Gran, 2012, Journal of the Royal Statistical Society. Series A,.

A sequential Cox approach for estimating the causal effect of treatment in the presence of time‐dependent confounding applied to data from the Swiss HIV Cohort Study

Hansjakob Furrer, Vanessa Didelez, Jonathan A C Sterne, 2010, Statistics in medicine.

Dynamic susceptibility contrast and diffusion MR imaging identify oligodendroglioma as defined by the 2016 WHO classification for brain tumors: histogram analysis approach

Anna Latysheva, Kyrre Eeg Emblem, Kjetil Røysland, 2019, Neuroradiology.

Does Cox analysis of a randomized survival study yield a causal treatment effect?

Richard J. Cook, Odd O. Aalen, Kjetil Røysland, 2015, Lifetime data analysis.

MetaMass, a tool for meta-analysis of subcellular proteomics data

Tomas Kalina, Quentin Lecrevisse, Kjetil Røysland, 2016, Nature Methods.