Multivariate regression models are powerful tools for data analysis that can help you evaluate the effects of interventions or treatments on multiple outcomes. In this article, you will learn how ...

The multivariate cox regression model for complete enteral nutrition after primary anastomosis in neonates with intestinal atresia Yang Chen 1,2,† Le-dao Zhu 1,† Ling Zhou 1 Ai-hui Guan 1,2 Zhi-yong ...

This repository implements the core function of paper "Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments". Firstly, we generate the patterns ...

Describe the bug I want to do regularized multivariate regression with sqrt_lasso. the endogenous variable dy is of shape 128x64 and exogenous variable x is of shape 128x64 also. When I try running ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

2. Problem Statement Considering N individuals, n genetic markers, and a linear model; the N × 1 phenotype vector y is related to N × n genotype matrix X through the n × 1 vector of effect sizes β as ...