When the topic of central banks and the outlook for interest rates comes up, economists often turn to the so-called "star" ...
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 ...
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.
Abstract: Fuzzy cognitive maps are studied from the quantitative human-scientific standpoint. The concepts and weights of these maps are thus examined as statistical random variables based on ...
Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback