A new fossil study reveals that giant anacondas achieved their immense size around 12.4 million years ago, a dimension they ...

Objective: To assess the correlates of changes in emergency department (ED) prices for self-pay patients from 2021 to 2023. Study Design: Retrospective longitudinal analysis of self-pay prices for ED ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Explore how deeply embedded cultural traits and psychological drivers shape the use of Jivamritam and what this means for ...

Objectives To examine state-level variation in mental health screening practices for high school athletes in the USA and ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

The process of turning a word model into a formal mathematical model invariably forces the experimentalist to confront his or her hidden assumptions. I have often found that I have 'skipped steps' in ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...