Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

Instead, we develop a multivariate model for ordinal trait analysis and implement an EM algorithm for parameter estimation. ... The regression coefficient b= ...

Conclusions: This multivariate regression model based on clinical, biopsy & 3TmpMRI parameters have a high predictive value for pathology ECE detection. This is an ASCO Meeting Abstract from the 2020 ...

Baseline LDH and SII levels emerged as key predictors of survival outcomes in individuals with advanced melanoma receiving ...

In this paper, we incorporate customers' multi-item purchase behavior into the assortment optimization problem. We consider both the uncapacitated and capacitated assortment problems under the ...

A model incorporating routinely collected variables accurately predicted 7-day mortality risk in HF patients presenting to the ED. This tool, researchers said, may improve clinical decision-making ...

Motivated by the idea of Liu and Tian (Computational Statistics and Data Analysis, 83, 200-222; 2015), we develop a multivariate zero-inflated hurdle model to describe multivariate count data with ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!