Estimation of item difficulty is essential in language test development, but recent attention has shifted toward the need also to explain and predict it. This has practical implications for item ...

The aim of this study was to investigate pharmacovigilance (PV) and make pairwise comparisons on arrhythmic events among antidepressants from the US Food and Drug Administration Adverse Event ...

This blog was originally posted on NewSecurityBeat, a blog of the Environmental Change and Security Program at the Wilson Center. The increased demand for minerals driven by the renewable energy ...

causeinfer is a Python package for estimating average and conditional average treatment effects using machine learning. The goal is to compile causal inference models both standard and advanced, as ...

free, open source, available for download and used in the production of, or provides access to, official statistics. We prefer software that is easy to install and use and actively maintained.

Conventional prognostic scores usually require predefined clinical variables to predict outcome. The advancement of natural language processing has made it feasible to derive meaning from unstructured ...

Last year, many took to social media using the hashtag #NoCongoNoPhone to fight against the cobalt supply chain that fosters child labor and the exploitation of small-scale artisanal miners. The ...