In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...

Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

In this video interview, David Morton, PhD, director of biostatistics at Certara, explains how regulatory momentum is encouraging sponsors to move beyond traditional methods, leveraging Bayesian ...

In today's ACT Brief, we explore the operational capabilities clinical teams need to implement Bayesian trial designs, why gender diversity strengthens data science across drug development, and the ...

Invasive species are among the leading threats to forests across North America. Among them, the spongy moth and Douglas-fir tussock moth are responsible for extensive damage to forests from coast to ...