Delayed onset of canonical babbling and first words is often reported in infants later diagnosed with autism spectrum disorder (ASD). Identifying the neural mechanisms underlying language acquisition ...

Abstract: Visualizations play a critical role in validating and improving statistical models. However, the design space of model check visualizations is not well understood, making it difficult for ...

The Observer has compiled a list of 2025 guides, tutorials, and manuals designed to support psychological scientists as they expand their toolboxes of research practices and methods.

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

A new ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...

Objectives Adverse lifestyle promotes escalating excess gestational weight gain (GWG) driving poor maternal and neonatal health outcomes. Recommended pregnancy lifestyle interventions rely on accurate ...

Many of us are proud to have learned sophisticated statistical methods like structural equation modeling and multilevel modeling and are eager to use these methods to test increasingly sophisticated ...