When analyzing repeated measures designs—such as a patient’s evolution or a machine’s logs—an error in modeling the individual can lead to misleading conclusions, like false positives. To avoid this, ASCA+ correctly models individual variability, ensuring that results are robust, reliable, and reproducible, even with complex and unbalanced data.
Modeling the individual in Repeated Measures Models with ASCA+ Read Post »
In an increasingly digitalized industrial world, model interpretability is key. At Datharsis, we transform complex data into clear, reliable decisions, empowering industrial experts. Discover how our 100% interpretable models help you predict quality, monitor processes, and comply with regulations, such as the EU AI Act.
Interpretability driving industry Read Post »
Discover how Artificial Intelligence is transforming business decision-making processes. This Datharsis post explores key AI applications, the importance of data governance, and offers practical advice for companies to adopt AI strategically and securely.
AI in business transformation Read Post »
