From Data to Evidence: A Framework for RWD Study Design & Causal Inference, Upcoming Webinar Hosted by Xtalks

Real-world data (RWD) is increasingly used for causal inference in healthcare research, but generating credible, decision-ready insights requires more than access to data. It demands intentional ...
Nature

Causal inference for time series

Many research questions in Earth and environmental sciences are inherently causal, requiring robust analyses to establish whether and how changes in one variable cause changes in another. Causal ...
Nature

Investigation of text-based comprehension questions in emergency distance education during the COVID-19 pandemic

The purpose of this study was to analyze text-based comprehension questions asked by fourth-grade teachers in Turkish (L1) lessons in emergency distance education that started during the COVID-19 ...
SDxCentral

AI inferencing will define 2026, and the market's wide open

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...