Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...

A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

Healthcare organizations have access to more data than ever before. Whereas in the past they were mostly limited to data from labs and electronic data capture (EDC) systems, they now have vast swaths ...

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 ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

Kevin Dayaratna was Director of the Center for Data Analysis and Chief Statistician for Heritage. A variety of statistical tools can detect potential breaches in the integrity of elections. These ...

Abstract: Due to the rapid expansion of high-speed systems and the escalating complexity of circuits in recent decades, relying on linearity and applying the superposition concept in high-speed ...