The way central bankers put their objectives into practice is influenced by the star variables. Specifying a target for ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

The authors apply a Heckman selection model to the 2003 Investment Climate Survey (ICS) to investigate supply-side ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Predicting cryptocurrency prices is challenging because markets are volatile and events like regulatory changes or ETF ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake and poor continuation rates. This study investigates oral PrEP ...

Discover how longitudinal data helps analyze financial trends, business risks, and economic changes with repeated observations of the same subjects over time.

Since the very beginning, Mental Floss has been dedicated to dredging up fascinating facts from across a broad range of topics—we’ve covered everything from strange animal stories to weird historical ...