When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...

Learning to read a survey means understanding margins of error, sampling, weighting, and media framing, with an essential checklist and glossary.

A statistical approach being used to support a new class of Alzheimer's drugs may lead to overstated claims about how the drugs work, according to a new study led by researchers at the Brown ...

Abstract: Subspace identification methods (SIMs) are known for their simple parameterization for MIMO systems and robust numerical properties. However, a comprehensive statistical analysis of SIMs ...

After writing my first book, Taking Stock, I spent months speaking at conferences about what the dying can teach us about money and life. The book was based on two main ideas: First, we need to define ...

This useful paper describes a software tool, "DrosoMating", which allows automated, high-throughput quantification of 6 common metrics of courtship and mating behaviors in Drosophila melanogaster. The ...

With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

The number of survey subjects included in a sample, n, is called the sample size. Creating a sample of size n from a population is called sampling. To make appropriate inferences about a population ...

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...