Gabriel, E.E., Ocampo, A. & Sjölander, A. Elucidating some common biases in randomized controlled trials using directed acyclic graphs. Eur J Epidemiol (2025). https://doi.org/10.1007/s10654-025-01298-7
Author's summary: "Although the ideal randomized clinical trial is the gold standard for causal inference, real randomized trials often suffer from imperfections that may hamper causal effect estimation. Stating the estimand of interest can help reduce confusion about what is being estimated, but it is often difficult to determine what is and is not identifiable given a trial's specific imperfections in advance. We demonstrate how directed acyclic graphs can be used to elucidate the consequences of common imperfections, such as noncompliance, unblinding, and drop-out."
NR Wray, T Lin, A Li1, V de Almeida, M Ziller and J Zeng. Progress in understanding the biological basis of polygenic disorders. Current Opinion in Genetics & Development 2026 https://doi.org/10.1016/j.gde.2025.102433
Author summary:
The forward-looking recommendations contribute to the thinking behind some SMARTbiomed research approaches.
The Pioneer Centre for Statistical and Computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed) was established in June 2024 and will run until 2036. It is anchored at Aarhus University with hub sites at the University of Copenhagen and University of Oxford.