Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Statistics and Data Science Enabling Successful ResearchA major aim of biomedical research at NASA is to acquire data to ...

Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...

When someone’s beloved hometown takes a turn for the worse, they may feel bad about it. But what about a beloved social media ...

Discover how base-year analysis measures economic changes, eliminates inflation effects, and aids in financial growth ...

MIT researchers developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Boards and executive buyers are raising the 2026 bar for all product and service rankings and this annual statement explains the standards Black Book applies to keep survey evaluations rigorous, ...

Reflecting on the methodological approaches used when engaging historically marginalized groups in computing survey research.

The original definition of the word “bias,” when it entered the English language in the 16th century, was a diagonal line, and specifically one that cut across the warp or weft of a woven fabric. It ...