Objectives This study describes the prototype testing and clinical validation of the Fit-Frailty App, a fully guided, interactive mobile health (mHealth) app to assess frailty and sarcopenia. This ...

But, for example, U.S. Environmental Protection Agency (EPA) air sensors are placed with other air sensor locations in mind. Second, existing methods often assume that the model is perfectly correct, ...

Students in the School of Social and Behavioral Sciences and those studying forensic psychology may encounter difficulty in their statistics and research methods classes, but the Statistics and ...

Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...

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Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...

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, ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

ABSTRACT: This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, ...

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 ...