"Older generations are bad with new things." "Young people are easily adaptable to technology." These generational theories ...

When you hear that "Japan's plastic recycling rate is about 60%," what do you think? Many people would feel reassured, ...

Traditional marketing mix models struggle with paid search. Google's Meridian uses geo-level data and search signals to ...

Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning adds ...

The Bachelor of Science in Statistics through the Department of Mathematics at the University of Dayton prepares you for a wide variety of careers in data science, business analytics, finance, ...

Statistics remains central to data science because machine-learning models, experiments and business decisions all depend on understanding uncertainty. This cheat sheet summarises the formulas, tests ...

We explore how quantum computation – a computing method based on the principles of quantum physics – could be applied to Bayesian inference – an approach to updating beliefs and making predictions ...

The FDA's move to incorporate Bayesian statistical methods into clinical trials of drugs and biologics garnered special treatment in JAMA this week. JAMA published three perspectives -- two welcoming ...

Industry groups and drugmakers want the US Food and Drug Administration (FDA) to explicitly clarify that Bayesian statistical methods can be used for products beyond those intended for children and ...

Clinical trials for a new drug can take years to complete, and cost up to hundreds of millions of dollars. New draft guidance from the U.S. Food and Drug Administration aims to make that process ...

Another push by the FDA to streamline clinical trials leverages a statistical method that compiles previous findings rather than starting with a blank slate. The agency’s draft guidance in January ...