Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Objectives Cardiopulmonary involvement (CPI) is a major cause of morbidity and mortality in systemic sclerosis (SSc). The 6 min walk test (6MWT) is widely used to assess functional capacity, but its ...

The elimination of the latent viral reservoir remains the main barrier in the quest for a cure for people with HIV (PWH). The administration of latency reversal agents (LRA) at antiretroviral ...

Plasma proteomics reveals that the biological ages of key organs, especially the brain and immune system, strongly predict ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...

This need is putting the spotlight back on traceability, which is fundamental to building confidence in complex systems.

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

To achieve this goal, we develop a multivariate regression model of climate change, in which the change in a climate variable is represented by a linear combination of its sensitivity to CO2 forcing, ...

In linear regression analyses, we used the calculated propensity scores as weights to determine the independent effect of dexamethasone on brain volumes. 27 In addition to known confounders, we ...