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 ...

PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...

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 New draft guidance from the U.S. Food and Drug Administration aims to make that process ...

From advances in artificial intelligence and blockchain to precision agriculture, statistical innovation drives progress and bolsters U.S. competitiveness. Data underpins science in every field and ...

The FDA’s new draft guidance on Bayesian methods in clinical trials has been hailed by some as a breakthrough that could speed drug development. But statisticians and researchers are divided on ...

Marty Makary was appointed commissioner of the Food and Drug Administration (FDA) in 2025. The prominent surgeon, medical researcher, bestselling author, and critic of the medical ...

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Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...

In recent years, something unexpected has been happening in artificial intelligence. Modern AI appears to be breaking a rule that statisticians have preached for nearly a century: Keep models in a ...