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

Planned sample size ... A pre-planned secondary analysis was performed in which the primary outcome was the dependent variable and treatment allocation, centre, type of surgery and age were included ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

A comparison is made between two different approaches to the linear logistic regression analysis of retrospective study data: the prospective model wherein the dependent variable is a dichotomous ...

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Compare RITM's dividends, yield, and sustainability against 17 mREIT peers. Get insights on projections, recommendations, and valuation methods.

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 ...

Discussion Many researchers have investigated non-invasive blood markers for the prediction of hepatic fibrosis stage because of the limitation of liver biopsy. [12] Blood marker values are ...