17 Multivariable analyses for in-hospital mortality were performed using logistic regression, with separate models developed each day among patients still in ICU from day 1 (i.e., the first 24 h of ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

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

Three decades after the end of apartheid, South Africa grapples with a staggering unemployment rate of 31. 9%. What does this ...

XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging The purpose of this study was to confirm the potential of XGBoost as a vascular aging assessment ...

Multivariate logistic regression analysis indicated that, in comparison to the control group, postoperative constipation ...

The noteworthy influence of correlation coefficients between diverse topological indices (TIs) for these medications underscores the capable to predict the physical and chemical characteristics of ...

Correlation coefficients can mean a positive, negative, or no relationship between two variables. Use correlation coefficients to help pick securities for your portfolio.

Soft elastomers are critical to a broad range of existing and emerging technologies. One major limitation of soft elastomers is the large friction of coefficient (COF) due to inherently large adhesion ...

Optimal polynomial coefficients in the least squares sense can be easily obtained in the closed form, and the consequent pansharpening algorithm is shown to obtain superior performance with respect to ...

Applying Joinpoint regression and age-period-cohort (APC) models to analyze temporal trends of five major musculoskeletal diseases from 1990 to 2021, considering age, period, and cohort effects.