Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
Multinomial logistic regression analysis for older adults Collinearity diagnostics showed that all independent variables had VIFs below 5 and tolerance values above 0.2, indicating no significant ...
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 ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
Share on X (Opens in new window) X Share on Facebook (Opens in new window) Facebook Now, this sort of thing isn’t rare when it comes to status quo reboots in superhero comics. It’s not even all that ...
Finally, Multinomial Logistic Regression is used to analyse the influence of socio-economic factors on the ATGEQS. The remainder of the paper is structured as follows: Section 2 provides a brief ...
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