Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...

Causal mediation analysis comprises a set of statistical techniques designed to disentangle the pathways through which an exposure or treatment exerts its effect on an outcome. By partitioning the ...

Which of temperature or food is more important for the richness of deep-sea animals? Dr Moriaki YASUHARA from the School of Biological Sciences, the Research Division for Ecology & Biodiversity, and ...

Thyroid hormones are amino acid-based molecules produced by the thyroid gland. Involved in direct or indirect regulation of key metabolic pathways, these molecules play critical roles in the ...

The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...

The surge in enterprise AI has fueled interest in causal analysis. In this piece, I explore the threads that bind cause and effect - and how they can be applied across a range of industry scenarios.