Insights into the quantification and reporting of model-related uncertainty across different disciplines.

Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world impacts in diverse spheres, including conservation, epidemiology, climate science, and policy. Despite these potentially damaging consequences, we still know little about how different fields quantify and report uncertainty.

Trends in place of death: The role of demographic and epidemiological shifts in end-of-life care policy.

Background: Surveys suggest that most people prefer to die at home. Trends in causes of mortality and age composition could limit the feasibility of home deaths.

Aim: To examine the effect of changes in decedents' age, gender and cause of death on the pattern of place of death using data on all deaths in Norway for the period 1987-2011.