Linear regression, also called simple regression, is one of the most common techniques of regression analysis. Multiple regression is a broader class of regression analysis, which encompasses both ...

Megan Barnet receives funding from Boehringer Ingelheim, Takeda Pharmaceuticals, and government-funded grants including the NHMRC. Sarah Sasson does not work for, consult, own shares in or receive ...

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

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Background Malnutrition influences prognosis in patients with heart failure, but current nutritional evaluation methods are ...

Rural survivors were more likely to experience chronic pain than urban survivors, at rates of 43.0% and 33.5%, respectively. After controlling for several factors, the investigators found that rural ...

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...

Tanning bed usage was associated with an increased risk of melanoma, at an odds ratio of 2.85, while further analysis revealed a dose–response relationship between the number of tanning bed exposures ...

Economic activity in the manufacturing sector contracted in December for the 10th consecutive month, following a two-month expansion preceded by 26 straight months of contraction, say the nation's ...

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...