Background The COVID-19 pandemic reversed a decade of progress in reducing child food insufficiency in the United States.

Background The Chinese government initiated a compulsory services programme (CSP) to provide skilled general practitioners ...

Objectives Curable sexually transmitted infections (STIs) heavily rely on laboratory testing methods. Unfortunately, these diagnostic tools are infrequently used in certain regions of the country, ...

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 ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

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 ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Some questions in the exam will require you to recall and apply equations you have learned in class. Other questions will ask you to use the 'Physics Equation Sheet'. This is a set list of equations ...

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 ...