Introduction The number of children with life-limiting conditions has risen in recent decades, partly due to medical advances ...

Assessing multivariate normality is a fundamental prerequisite in many statistical analyses, including multivariate regression, principal component analysis and discriminant analysis. A broad spectrum ...

A total of 232 patients with closed TBI admitted to our hospital from January 2021 to January 2023 were included. Basic demographic data, injury circumstances, and psychiatric conditions during ...

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 ...

This paper critically examines ‘kitchen sink regression’, a practice characterised by the manual or automated selection of variables for a multivariable regression model based on p values or ...

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

Abstract: Low-rank multivariate regression (LRMR) is an important statistical learning model that combines highly correlated tasks as a multiresponse regression problem with low-rank priori on the ...

Regression analysis is a statistical technique used to determine the relationship between two or more variables. In business, it is commonly used to examine the effects of a particular variable or set ...

We will leverage population's information on immunization, mortality, social- economic and other health related factors and use Automatic Machine Learning H2O AutoML to make prediction on life ...