Background It is vital for clinicians to understand and interpret correctly medical statistics as
used in clinical studies. In this review, we address current issues and focus on delivering a …

More and more systematic reviews of diagnostic test accuracy studies are being published,
but they can be methodologically challenging. In this paper, the authors present some of the …

Evaluating binary classifications is a pivotal task in statistics and machine learning, because
it can influence decisions in multiple areas, including for example prognosis or therapies of …

Customers increasingly rely on reviews for product information. However, the usefulness of
online reviews is impeded by fake reviews that give an untruthful picture of product quality …

The present study examined the psychometric properties of the Coronavirus Anxiety Scale
(CAS) using an online survey of 398 adult Amazon MTurk workers in the US Confirmatory …

Objective To develop and validate an international set of classification criteria for primary
Sjögren's syndrome (SS) using guidelines from the American College of Rheumatology …

ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The
analysis results in two gains: diagnostic accuracy of the biomarker and the optimal cut-point …

Understanding ecological niches of major tick species and prevalent tick-borne pathogens is
crucial for efficient surveillance and control of tick-borne diseases. Here we provide an up-to …

The paper by Body et al is concerned with the evaluation of decision aids, which can be
used to identify potential acute coronary syndromes (ACS) in the ED. The authors previously …

Abstract The Spielberger State-Trait Anxiety Inventory (STAI) has been widely used to
measure the state and trait components of anxiety. We sought to develop a short, yet reliable …