Importance/background The 12-lead ECG is recommended in clinical guidelines for prehospital assessment of patients with ...

This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

Abstract: Regression analysis is an important technique in data analysis field. Nowadays, diverse of regression models have been proposed. However, when dealing with different data sets, the selection ...

Advanced 3D metrology technologies such as coordinate measuring machine and laser 3D scanners have facilitated the collection of massive point cloud data, beneficial for process monitoring, control ...

Objective: To investigate the risk factors associated with cognitive frailty among older adults in nursing homes using logistic regression and decision tree modeling, and to compare the predictive ...

Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...

We conducted a comprehensive analysis of the burden, including prevalence, incidence, mortality, and disability-adjusted life year rates, for stroke across 204 countries and regions from 1990 to 2021 ...

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...