Has Quinton Byfield regressed? The environment around him certainly did. What looks like a stalled breakout is really the ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...

A strong profile reflects genuine learning as students deepen their understanding by consistently building and refining ...

Wulandari, Rastafael, and Hwihanus (2024) conducted a meta-analysis of international studies and found that implementing ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

This repo provides an example pipeline to (i) fit a PPG model with SSL, (ii) fit a simple ridge regression-based age model, and (iii) analyze age predictions to re-create statistics + visualizations ...

Patients typically experience a modest mean 8.1 mL/min/1.73 m2 decrease in the eGFR after cisplatin treatment. A simple regression model based on the pretreatment estimated glomerular filtration rate ...

1 Department of Hepatology, Panzhihua Hospital of Integrated Chinese and Western Medicine, Panzhihua, China 2 Department of Intensive Care Medicine, Panzhihua Hospital of Integrated Chinese and ...

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...