Causal inference in observational settings seeks to estimate the effect of exposures, treatments or interventions on outcomes in the absence of random assignment. Unlike experimental designs, ...

At the core of science is a commitment to rigorous reasoning, method, and the use of evidence. The final session of the workshop was designed to take a step back from the specific issues of how ...

Causal inference methods are central to determining the true impact of policies in fields such as public health, education, taxation and environmental regulation. Whereas randomised controlled trials ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

A lot of ink has been spilled on the question of what will ultimately win: the scientific method, an approach to learning about the world by coming up with theories and testing those theories against ...